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Kistemaker KRJ, Sijani F, Brinkman DJ, de Graeff A, Burchell GL, Steegers MAH, van Zuylen L. Corrigendum to "Pharmacological prevention and treatment of opioid-induced constipation in cancer patients: A systematic review and meta-analysis" [Cancer Treat. Rev. 125 (2024) 102704]. Cancer Treat Rev 2024; 127:102738. [PMID: 38678643 DOI: 10.1016/j.ctrv.2024.102738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Affiliation(s)
- K R J Kistemaker
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Medical Oncology, De Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Anesthesiology, De Boelelaan 1117, Amsterdam, The Netherlands; Cancer Center Amsterdam, Treatment and Quality of Life, Amsterdam, The Netherlands.
| | - F Sijani
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Medical Oncology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - D J Brinkman
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Anesthesiology, De Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam, Internal Medicine, Section Pharmacotherapy, De Boelelaan 1117, Amsterdam, The Netherlands
| | - A de Graeff
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht, Academic Hospice Demeter, de Bilt, The Netherlands
| | - G L Burchell
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - M A H Steegers
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Anesthesiology, De Boelelaan 1117, Amsterdam, The Netherlands; Cancer Center Amsterdam, Treatment and Quality of Life, Amsterdam, The Netherlands
| | - L van Zuylen
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Medical Oncology, De Boelelaan 1117, Amsterdam, The Netherlands; Cancer Center Amsterdam, Treatment and Quality of Life, Amsterdam, The Netherlands
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Kistemaker KRJ, Sijani F, Brinkman DJ, de Graeff A, Burchell GL, Steegers MAH, van Zuylen L. Pharmacological prevention and treatment of opioid-induced constipation in cancer patients: A systematic review and meta-analysis. Cancer Treat Rev 2024; 125:102704. [PMID: 38452708 DOI: 10.1016/j.ctrv.2024.102704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Cancer-related pain often requires opioid treatment with opioid-induced constipation (OIC) as its most frequent gastrointestinal side-effect. Both for prevention and treatment of OIC osmotic (e.g. polyethylene glycol) and stimulant (e.g. bisacodyl) laxatives are widely used. Newer drugs such as the peripherally acting µ-opioid receptor antagonists (PAMORAs) and naloxone in a fixed combination with oxycodone have become available for the management of OIC. This systematic review and meta-analysis aims to give an overview of the scientific evidence on pharmacological strategies for the prevention and treatment of OIC in cancer patients. METHODS A systematic search in PubMed, Embase, Web of Science and the Cochrane Library was completed from inception up to 22 October 2022. Randomized and non-randomized studies were systematically selected. Bowel function and adverse drug events were assessed. RESULTS Twenty trials (prevention: five RCTs and three cohort studies; treatment: ten RCTs and two comparative cohort studies) were included in the review. Regarding the prevention of OIC, three RCTs compared laxatives with other laxatives, finding no clear differences in effectivity of the laxatives used. One cohort study showed a significant benefit of magnesium oxide compared with no laxative. One RCT found a significant benefit for the PAMORA naldemedine compared with magnesium oxide. Preventive use of oxycodone/naloxone did not show a significant difference in two out of three other studies compared to oxycodone or fentanyl. A meta-analysis was not possible. Regarding the treatment of OIC, two RCTs compared laxatives, of which one RCT found that polyethylene glycol was significantly more effective than sennosides. Seven studies compared an opioid antagonist (naloxone, methylnaltrexone or naldemedine) with placebo and three studies compared different dosages of opioid antagonists. These studies with opioid antagonists were used for the meta-analysis. Oxycodone/naloxone showed a significant improvement in Bowel Function Index compared to oxycodone with laxatives (MD -13.68; 95 % CI -18.38 to -8.98; I2 = 58 %). Adverse drug event rates were similar amongst both groups, except for nausea in favour of oxycodone/naloxone (RR 0.51; 95 % CI 0.31-0.83; I2 = 0 %). Naldemedine (NAL) and methylnaltrexone (MNTX) demonstrated significantly higher response rates compared to placebo (NAL: RR 2.07, 95 % CI 1.64-2.61, I2 = 0 %; MNTX: RR 3.83, 95 % CI 2.81-5.22, I2 = 0 %). With regard to adverse events, abdominal pain was more present in treatment with methylnaltrexone and diarrhea was significantly more present in treatment with naldemedine. Different dosages of methylnaltrexone were not significantly different with regard to both efficacy and adverse drug event rates. CONCLUSIONS Magnesium oxide and naldemedine are most likely effective for prevention of OIC in cancer patients. Naloxone in a fixed combination with oxycodone, naldemedine and methylnaltrexone effectively treat OIC in cancer patients with acceptable adverse events. However, their effect has not been compared to standard (osmotic and stimulant) laxatives. More studies comparing standard laxatives with each other and with opioid antagonists are necessary before recommendations for clinical practice can be made.
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Affiliation(s)
- K R J Kistemaker
- Amsterdam UMC location Vrije Universiteit Amsterdam, Medical Oncology, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Anesthesiology, De Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam, Treatment and Quality of Life, Amsterdam, the Netherlands.
| | - F Sijani
- Amsterdam UMC location Vrije Universiteit Amsterdam, Medical Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
| | - D J Brinkman
- Amsterdam UMC location Vrije Universiteit Amsterdam, Anesthesiology, De Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Internal Medicine, Section Pharmacotherapy, De Boelelaan 1117, Amsterdam, the Netherlands
| | - A de Graeff
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht, Academic Hospice Demeter, de Bilt, the Netherlands
| | - G L Burchell
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - M A H Steegers
- Amsterdam UMC location Vrije Universiteit Amsterdam, Anesthesiology, De Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam, Treatment and Quality of Life, Amsterdam, the Netherlands
| | - L van Zuylen
- Amsterdam UMC location Vrije Universiteit Amsterdam, Medical Oncology, De Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam, Treatment and Quality of Life, Amsterdam, the Netherlands
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Bektaş M, Reiber BMM, Pereira JK, Burchell GL, van der Peet DL. Response to "Comment on Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives". Obes Surg 2024; 34:260-261. [PMID: 38017328 DOI: 10.1007/s11695-023-06932-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 10/29/2023] [Accepted: 11/01/2023] [Indexed: 11/30/2023]
Affiliation(s)
- Mustafa Bektaş
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Surgery, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Beata M M Reiber
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Surgery, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Jaime Ken Pereira
- Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - George L Burchell
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Medical Library, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Donald L van der Peet
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Surgery, De Boelelaan 1117, Amsterdam, The Netherlands
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4
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Hendriks J, Mutsaerts HJ, Joules R, Peña-Nogales Ó, Rodrigues PR, Wolz R, Burchell GL, Barkhof F, Schrantee A. A systematic review of (semi-)automatic quality control of T1-weighted MRI scans. Neuroradiology 2024; 66:31-42. [PMID: 38047983 PMCID: PMC10761394 DOI: 10.1007/s00234-023-03256-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/16/2023] [Indexed: 12/05/2023]
Abstract
PURPOSE Artifacts in magnetic resonance imaging (MRI) scans degrade image quality and thus negatively affect the outcome measures of clinical and research scanning. Considering the time-consuming and subjective nature of visual quality control (QC), multiple (semi-)automatic QC algorithms have been developed. This systematic review presents an overview of the available (semi-)automatic QC algorithms and software packages designed for raw, structural T1-weighted (T1w) MRI datasets. The objective of this review was to identify the differences among these algorithms in terms of their features of interest, performance, and benchmarks. METHODS We queried PubMed, EMBASE (Ovid), and Web of Science databases on the fifth of January 2023, and cross-checked reference lists of retrieved papers. Bias assessment was performed using PROBAST (Prediction model Risk Of Bias ASsessment Tool). RESULTS A total of 18 distinct algorithms were identified, demonstrating significant variations in methods, features, datasets, and benchmarks. The algorithms were categorized into rule-based, classical machine learning-based, and deep learning-based approaches. Numerous unique features were defined, which can be roughly divided into features capturing entropy, contrast, and normative measures. CONCLUSION Due to dataset-specific optimization, it is challenging to draw broad conclusions about comparative performance. Additionally, large variations exist in the used datasets and benchmarks, further hindering direct algorithm comparison. The findings emphasize the need for standardization and comparative studies for advancing QC in MR imaging. Efforts should focus on identifying a dataset-independent measure as well as algorithm-independent methods for assessing the relative performance of different approaches.
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Affiliation(s)
- Janine Hendriks
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VUmc, PK -1, De Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands.
| | - Henk-Jan Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VUmc, PK -1, De Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
| | | | | | | | - Robin Wolz
- IXICO Plc, London, EC1A 9PN, UK
- Imperial College London, London, SW7 2BX, UK
| | - George L Burchell
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VUmc, PK -1, De Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, WC1N 3BG, UK
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, 1105 AZ, The Netherlands
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de Beaufort CMC, Derikx JPM, de Jong JR, Burchell GL, Bosscha SRJ, de Beer SA, van Heurn LWE, Gorter RR. Outcomes after Surgical Treatment for Rectal Atresia in Children: Is There a Preferred Approach? A Systematic Review. Eur J Pediatr Surg 2023; 33:345-353. [PMID: 36516962 PMCID: PMC10564564 DOI: 10.1055/s-0042-1758152] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/26/2022] [Indexed: 12/23/2022]
Abstract
Rectal atresia (RA) affects only 1 to 2% of all children with anorectal malformations. No consensus on optimal treatment strategy is yet achieved. Therefore, the aim of this systematic review is to summarize all surgical interventions for RA and outcomes described in the current literature. A literature search was conducted in PubMed, Embase, Web of Science, and Cochrane Library on January 24, 2022. All studies describing treatment for RA in children (< 18 years) were included. Operation technique and postoperative complications were listed. Only descriptive analysis was anticipated. Quality of the studies was assessed using Johanna Briggs Institute critical appraisal checklist for case reports and series. The search yielded 6,716 studies of which, after duplicate removal, 4,028 were excluded based on title and abstract screening. After full-text assessment, 22 of 90 studies were included, yielding 70 patients. Posterior sagittal anorectoplasty (PSARP) and pull-through were most performed (43/70 and 18/70 patients, respectively). Four patients experienced postoperative complications: anal stenosis (n = 1), anastomotic stenosis (n = 2), and death due to a pulmonary complication (n = 1). In the low-quality literature available, most patients with RA are treated with PSARP or pull-through technique. A low complication rate of both has been described but follow-up was often not mentioned. Larger well-designed studies should be performed to determine optimal treatment strategy for children with RA. This study reflects level of evidence V.
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Affiliation(s)
- Cunera M. C. de Beaufort
- Department of Pediatric Surgery, Emma Children's Hospital Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology and Metabolism Research Institute, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
| | - Joep P. M. Derikx
- Department of Pediatric Surgery, Emma Children's Hospital Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology and Metabolism Research Institute, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
| | - Justin R. de Jong
- Department of Pediatric Surgery, Emma Children's Hospital Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology and Metabolism Research Institute, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
| | - George L. Burchell
- Department of Medical Library, Amsterdam University Medical Center, Vrije Universiteit of Amsterdam, Medical Library, Amsterdam, the Netherlands
| | - Sterre R. J. Bosscha
- Department of Pediatric Surgery, Emma Children's Hospital Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Sjoerd A. de Beer
- Department of Pediatric Surgery, Emma Children's Hospital Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Lodewijk W. Ernest van Heurn
- Department of Pediatric Surgery, Emma Children's Hospital Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology and Metabolism Research Institute, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
| | - Ramon R. Gorter
- Department of Pediatric Surgery, Emma Children's Hospital Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology and Metabolism Research Institute, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, the Netherlands
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de Vries BM, Zwezerijnen GJC, Burchell GL, van Velden FHP, Menke-van der Houven van Oordt CW, Boellaard R. Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review. Front Med (Lausanne) 2023; 10:1180773. [PMID: 37250654 PMCID: PMC10213317 DOI: 10.3389/fmed.2023.1180773] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/17/2023] [Indexed: 05/31/2023] Open
Abstract
Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic imaging for various diseases and modalities and therefore has a high potential to be used as a clinical tool. However, current practice shows low deployment of these algorithms in clinical practice, because DL algorithms lack transparency and trust due to their underlying black-box mechanism. For successful employment, explainable artificial intelligence (XAI) could be introduced to close the gap between the medical professionals and the DL algorithms. In this literature review, XAI methods available for magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) imaging are discussed and future suggestions are made. Methods PubMed, Embase.com and Clarivate Analytics/Web of Science Core Collection were screened. Articles were considered eligible for inclusion if XAI was used (and well described) to describe the behavior of a DL model used in MR, CT and PET imaging. Results A total of 75 articles were included of which 54 and 17 articles described post and ad hoc XAI methods, respectively, and 4 articles described both XAI methods. Major variations in performance is seen between the methods. Overall, post hoc XAI lacks the ability to provide class-discriminative and target-specific explanation. Ad hoc XAI seems to tackle this because of its intrinsic ability to explain. However, quality control of the XAI methods is rarely applied and therefore systematic comparison between the methods is difficult. Conclusion There is currently no clear consensus on how XAI should be deployed in order to close the gap between medical professionals and DL algorithms for clinical implementation. We advocate for systematic technical and clinical quality assessment of XAI methods. Also, to ensure end-to-end unbiased and safe integration of XAI in clinical workflow, (anatomical) data minimization and quality control methods should be included.
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Affiliation(s)
- Bart M. de Vries
- Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Gerben J. C. Zwezerijnen
- Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | | | | | | | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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7
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van Liere ELSA, van Dijk LJ, Bosch S, Vermeulen L, Heymans MW, Burchell GL, de Meij TGJ, Ramsoekh D, de Boer NKH. Urinary volatile organic compounds for colorectal cancer screening, a systematic review and meta-analysis. Eur J Cancer 2023; 186:69-82. [PMID: 37030079 DOI: 10.1016/j.ejca.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND The faecal immunochemical test (FIT) suffers from suboptimal performance and participation in colorectal cancer (CRC) screening. Urinary volatile organic compounds (VOCs) may be a useful alternative. We aimed to determine the diagnostic potential of urinary VOCs for CRC/adenomas. By relating VOCs to known pathways, we aimed to gain insight into the pathophysiology of colorectal neoplasia. METHODS A systematic search was performed in PubMed, EMBASE and Web of Science. Original studies on urinary VOCs for CRC/adenoma detection with a control group were included. QUADAS-2 tool was used for quality assessment. Meta-analysis was performed by adopting a bivariate model for sensitivity/specificity. Fagan's nomogram estimated the performance of combined FIT-VOC. Neoplasm-associated VOCs were linked to pathways using the KEGG database. RESULTS Sixteen studies-involving 837 CRC patients and 1618 controls-were included; 11 performed chemical identification and 7 chemical fingerprinting. In all studies, urinary VOCs discriminated CRC from controls. Pooled sensitivity and specificity for CRC based on chemical fingerprinting were 84% (95% CI 73-91%) and 70% (95% CI 63-77%), respectively. The most distinctive individual VOC was butanal (AUC 0.98). The estimated probability of having CRC following negative FIT was 0.38%, whereas 0.09% following negative FIT-VOC. Combined FIT-VOC would detect 33% more CRCs. In total 100 CRC-associated urinary VOCs were identified; particularly hydrocarbons, carboxylic acids, aldehydes/ketones and amino acids, and predominantly involved in TCA-cycle or alanine/aspartate/glutamine/glutamate/phenylalanine/tyrosine/tryptophan metabolism, which is supported by previous research on (colorectal)cancer biology. The potential of urinary VOCs to detect precancerous adenomas or gain insight into their pathophysiology appeared understudied. CONCLUSION Urinary VOCs hold potential for non-invasive CRC screening. Multicentre validation studies are needed, especially focusing on adenoma detection. Urinary VOCs elucidate underlying pathophysiologic processes.
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Affiliation(s)
- Elsa L S A van Liere
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Vrije Universiteit, School of Medicine, Amsterdam, the Netherlands.
| | - Laura J van Dijk
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Vrije Universiteit, School of Medicine, Amsterdam, the Netherlands
| | - Sofie Bosch
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands
| | - Louis Vermeulen
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Amsterdam UMC location University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Centre for Experimental and Molecular Medicine, Amsterdam, the Netherlands; Cancer Centre Amsterdam, Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Martijn W Heymans
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, the Netherlands
| | - George L Burchell
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Tim G J de Meij
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Paediatric Gastroenterology, Amsterdam, the Netherlands
| | - Dewkoemar Ramsoekh
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Vrije Universiteit, School of Medicine, Amsterdam, the Netherlands
| | - Nanne K H de Boer
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Vrije Universiteit, School of Medicine, Amsterdam, the Netherlands
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Lubbe AL, van Rijn M, Groen WG, Hilhorst S, Burchell GL, Hertogh CMPM, Pol MC. The quality of geriatric rehabilitation from the patients' perspective: a scoping review. Age Ageing 2023; 52:7078338. [PMID: 36928115 PMCID: PMC10020894 DOI: 10.1093/ageing/afad032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 12/22/2022] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND the efficacy and outcomes of geriatric rehabilitation (GR) have previously been investigated. However, a systematic synthesis of the aspects that are important to patients regarding the quality of GR does not exist. OBJECTIVE the aim of this scoping review was to systematically synthesise the patients' perspective on the quality of GR. METHODS we followed the Scoping Review framework and gathered literature including a qualitative study design from multiple databases. The inclusion criteria were: a qualitative study design; a geriatric population; that patients had participated in a geriatric rehabilitation programme and that geriatric rehabilitation was assessed by the patient. The results sections of the included studies were analysed using a thematic analysis approach. RESULTS twenty articles were included in this review. The main themes identified were: (i) the need for information about the rehabilitation process, (ii) the need for telling one's story, (iii) the need for support (physical, psychological, social and how to cope with limitations), (iv) the need for shared decision-making and autonomy, (v) the need for a stimulating rehabilitation environment and (vi) the need for rehabilitation at home. CONCLUSION in this study, we identified the aspects that determine the quality of rehabilitation from the patient's perspective, which may lead to a more holistic perspective on the quality of GR.
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Affiliation(s)
- Anne L Lubbe
- Address correspondence to: Anne L. Lubbe, MSc, Department of Medicine for Older People, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands. Tel: (+31)651511451.
| | - Marjon van Rijn
- Departement of Medicine for Older People, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
- Faculty of Health, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Tafelbergweg 51, 1105 BD Amsterdam, The Netherlands
| | - Wim G Groen
- Departement of Medicine for Older People, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
| | | | - George L Burchell
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Cees M P M Hertogh
- Departement of Medicine for Older People, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
| | - Margriet C Pol
- Departement of Medicine for Older People, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
- Research Group Occupational Therapy: Participation and Environment, Faculty of Health, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Tafelbergweg 51, 1105 BD Amsterdam, The Netherlands
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Burger P, Van den Ende ES, Lukman W, Burchell GL, Steur L, Polderman J, Merten H, Twisk J, Nanayakkara P, Gemke R. How to improve inpatient sleep in regular care wards: a systematic review and meta-analysis of sleep disturbers and non-pharmacological interventions. Acute Med 2023; 22:209-257. [PMID: 38284637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
OBJECTIVE To determine factors affecting inpatient sleep and assess the range and effectiveness of non-pharmacological interventions aimed at improving the sleep of patients admitted to regular care wards. METHODS A systematic literature search was conducted in five scientific databases, including articles published from inception to June 23rd, 2023. Eligible studies evaluated sleep disturbing factors or the effect of non-pharmacological intervention(s). Meta-analyses on intervention studies were conducted using a random effects model. Certainty of evidence was assessed using the GRADE approach. RESULTS Out of 591 potentially eligible studies, 229 were included in this review. Sleep disturbers were identified in 153 studies, and 102 studies were eligible for meta-analysis. Common factors contributing to poor sleep included noise, light, care-related interruptions, pain, and anxiety. The meta-analyses revealed large pooled effects in favor of sleep for the use of eye masks and earplugs, headphones and white noise, aromatherapy, massage, muscle relaxation and breathing exercises, and advanced nursing strategies. However, the certainty of the evidence ranged from moderate to very low. CONCLUSION Inpatient sleep is often disturbed by patient-related, care-related, and environmental factors. While there are promising non-pharmacological interventions, the overall quality of studies, heterogeneity in study populations, and differences in outcome measures present challenges for drawing definitive conclusions.
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Affiliation(s)
- P Burger
- Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, Amsterdam, Netherlands. Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
| | - E S Van den Ende
- Section General Internal Medicine unit Acute Medicine, Department of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - W Lukman
- Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, Amsterdam, Netherlands
| | - G L Burchell
- Medical Library, Vrije Universiteit, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Lmh Steur
- Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, Amsterdam, Netherlands
| | - Jaw Polderman
- Department of Anesthesiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - H Merten
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jwr Twisk
- Department of Clinical Epidemiology and Data Science, Amsterdam Public Health, Amsterdam UMC, the Netherlands
| | - Pwb Nanayakkara
- Section General Internal Medicine unit Acute Medicine, Department of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Rjbj Gemke
- Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, Amsterdam, Netherlands. Amsterdam Reproduction and Development research institute, Amsterdam, The Netherlands
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Bektaş M, Burchell GL, Bonjer HJ, van der Peet DL. Machine learning applications in upper gastrointestinal cancer surgery: a systematic review. Surg Endosc 2023; 37:75-89. [PMID: 35953684 PMCID: PMC9839827 DOI: 10.1007/s00464-022-09516-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 07/26/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND Machine learning (ML) has seen an increase in application, and is an important element of a digital evolution. The role of ML within upper gastrointestinal surgery for malignancies has not been evaluated properly in the literature. Therefore, this systematic review aims to provide a comprehensive overview of ML applications within upper gastrointestinal surgery for malignancies. METHODS A systematic search was performed in PubMed, EMBASE, Cochrane, and Web of Science. Studies were only included when they described machine learning in upper gastrointestinal surgery for malignancies. The Cochrane risk-of-bias tool was used to determine the methodological quality of studies. The accuracy and area under the curve were evaluated, representing the predictive performances of ML models. RESULTS From a total of 1821 articles, 27 studies met the inclusion criteria. Most studies received a moderate risk-of-bias score. The majority of these studies focused on neural networks (n = 9), multiple machine learning (n = 8), and random forests (n = 3). Remaining studies involved radiomics (n = 3), support vector machines (n = 3), and decision trees (n = 1). Purposes of ML included predominantly prediction of metastasis, detection of risk factors, prediction of survival, and prediction of postoperative complications. Other purposes were predictions of TNM staging, chemotherapy response, tumor resectability, and optimal therapy. CONCLUSIONS Machine Learning algorithms seem to contribute to the prediction of postoperative complications and the course of disease after upper gastrointestinal surgery for malignancies. However, due to the retrospective character of ML studies, these results require trials or prospective studies to validate this application of ML.
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Affiliation(s)
- Mustafa Bektaş
- Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - George L. Burchell
- Medical Library, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - H. Jaap Bonjer
- Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Donald L. van der Peet
- Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
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11
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van der Gaag S, Bartelink IH, Vis AN, Burchell GL, Oprea-Lager DE, Hendrikse H. Pharmacological Optimization of PSMA-Based Radioligand Therapy. Biomedicines 2022; 10:biomedicines10123020. [PMID: 36551776 PMCID: PMC9775864 DOI: 10.3390/biomedicines10123020] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/09/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022] Open
Abstract
Prostate cancer (PCa) is the most common malignancy in men of middle and older age. The standard treatment strategy for PCa ranges from active surveillance in low-grade, localized PCa to radical prostatectomy, external beam radiation therapy, hormonal treatment and chemotherapy. Recently, the use of prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) for metastatic castration-resistant PCa has been approved. PSMA is predominantly, but not exclusively, expressed on PCa cells. Because of its high expression in PCa, PSMA is a promising target for diagnostics and therapy. To understand the currently used RLT, knowledge about pharmacokinetics (PK) and pharmacodynamics (PD) of the PSMA ligand and the PSMA protein itself is crucial. PK and PD properties of the ligand and its target determine the duration and extent of the effect. Knowledge on the concentration-time profile, the target affinity and target abundance may help to predict the effect of RLT. Increased specific binding of radioligands to PSMA on PCa cells may be associated with better treatment response, where nonspecific binding may increase the risk of toxicity in healthy organs. Optimization of the radioligand, as well as synergistic effects of concomitant agents and an improved dosing strategy, may lead to more individualized treatment and better overall survival.
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Affiliation(s)
- Suzanne van der Gaag
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, De Boelelaan 1118, 1081 HV Amsterdam, The Netherlands
| | - Imke H. Bartelink
- Cancer Center Amsterdam, Imaging and Biomarkers, De Boelelaan 1118, 1081 HV Amsterdam, The Netherlands
- Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - André N. Vis
- Department of Urology, Prostate Cancer Network Amsterdam, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - George L. Burchell
- Medical Library, VU University, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Daniela E. Oprea-Lager
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, De Boelelaan 1118, 1081 HV Amsterdam, The Netherlands
| | - Harry Hendrikse
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, De Boelelaan 1118, 1081 HV Amsterdam, The Netherlands
- Correspondence: ; Tel.: +31-6-25716236
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12
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Burger P, Van den Ende E, Lukman W, Burchell GL, Steur LM, Merten H, Nanayakkara PW, Gemke RJ. Sleep in hospitalized pediatric and adult patients – A systematic review and meta-analysis. Sleep Med X 2022; 4:100059. [PMID: 36406659 PMCID: PMC9672415 DOI: 10.1016/j.sleepx.2022.100059] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 11/07/2022] Open
Abstract
Background Sleep is essential for recovery from illness. As a result, researchers have shown a growing interest in the sleep of hospitalized patients. Although many studies have been conducted over the past years, an up to date systematic review of the results is missing. Objective The objective of this systematic review was to assess sleep quality and quantity of hospitalized patients and sleep disturbing factors. Methods A systematic literature search was conducted within four scientific databases. The search focused on synonyms of 'sleep’ and 'hospitalization’. Papers written in English or Dutch from inception to April 25th,2022 were included for hospitalized patients >1 year of age. Papers exclusively reporting about patients receiving palliative, obstetric or psychiatric care were excluded, as well as patients in rehabilitation and intensive care settings, and long-term hospitalized geriatric patients. This review was performed in accordance with the PRISMA guidelines. Results Out of 542 full text studies assessed for eligibility, 203 were included, describing sleep quality and/or quantity of 17,964 patients. The median sample size of the studies was 51 patients (IQR 67, range 6–1472). An exploratory meta-analysis of the Total Sleep Time showed an average of 7.2 h (95%-CI 4.3, 10.2) in hospitalized children, 5.7 h (95%-CI 4.8, 6.7) in adults and 5.8 h (95%-CI 5.3, 6.4) in older patients (>60y). In addition, a meta-analysis of the Wake After Sleep Onset (WASO) showed a combined high average of 1.8 h (95%-CI 0.7, 2.9). Overall sleep quality was poor, also due to nocturnal awakenings. The most frequently cited external factors for poor sleep were noise and number of patients in the room. Among the variety of internal/disease-related factors, pain and anxiety were most frequently mentioned to be associated with poor sleep. Conclusion Of all studies, 76% reported poor sleep quality and insufficient sleep duration in hospitalized patients. Children sleep on average 0.7–3.8 h less in the hospital than recommended. Hospitalized adults sleep 1.3–3.2 h less than recommended for healthy people. This underscores the need for interventions to improve sleep during hospitalization to support recovery. An overview of the magnitude of sleep deprivation in hospitalized patients. A meta-analysis of studies reporting on some of the main sleep outcomes. An overview of internal and external factors affecting sleep in hospitalized patients. Guidance for potential interventions to improve sleep during clinical admission. Uncovers a knowledge gap regarding the sleep quality of hospitalized children and daytime sleep of hospitalized adults.
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13
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Abdul Rahman N, Rajaratnam V, Burchell GL, Peters RMH, Zweekhorst MBM. Experiences of living with leprosy: A systematic review and qualitative evidence synthesis. PLoS Negl Trop Dis 2022; 16:e0010761. [PMID: 36197928 PMCID: PMC9576094 DOI: 10.1371/journal.pntd.0010761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 10/17/2022] [Accepted: 08/24/2022] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE The objective of the review was to identify, appraise, and synthesise qualitative studies on the lived experience of individuals diagnosed with leprosy, the impact of the disease, and how they coped with the disease burden. INTRODUCTION Leprosy is a chronic disease with long-term biopsychosocial impact and is a leading cause of preventable disabilities. It traps the individuals with leprosy in a vicious circle of disease, stigma, and poverty. The efforts to reduce stigma and discrimination and improve their quality of life have not kept pace with the success of the multidrug treatment. INCLUSION CRITERIA This review considered published literature on the lived experience of individuals diagnosed with leprosy. There were no limitations on gender, background, or country. All qualitative or mixed-methods studies were accepted. METHODS The review followed the JBI meta-aggregation approach for qualitative systematic reviews. A structured literature search was undertaken using multiple electronic databases: PubMed, Embase, Web of Science, and CINAHL. RESULTS The search identified 723 publications, and there were 446 articles after deduplication. Forty-nine studies met the inclusion criteria. The final 173 findings were synthesised into ten categories and aggregated into four synthesised findings: biophysical impact, social impact, economic impact, and mental and emotional impact. These synthesised findings were consistent across the included studies from a patient's perspective. The way people coped with leprosy depended on their interpretation of the disease and its treatment. It affected their help-seeking behaviour and their adherence to treatment and self-care. The review has identified a multi-domain effect on the affected individuals, which goes beyond the biological and physical effects, looking at the social issues, specific difficulties, emotions, and economic hardships. CONCLUSIONS The researchers, health professionals, and policymakers could use the synthesised findings to address the concerns and needs of the leprosy-affected individuals and offer appropriate support to manage their lives. SYSTEMATIC REVIEW REGISTRATION NUMBER PROSPERO Registration number: CRD42021243223.
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Affiliation(s)
- Norana Abdul Rahman
- CRE, Perdana University, Kuala Lumpur, Malaysia
- Faculty of Science, Athena Institute, Vrije Universiteit Amsterdam, Netherlands
- * E-mail:
| | | | | | - Ruth M. H. Peters
- Faculty of Science, Athena Institute, Vrije Universiteit Amsterdam, Netherlands
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14
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Bektaş M, Reiber BMM, Pereira JC, Burchell GL, van der Peet DL. Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives. Obes Surg 2022; 32:2772-2783. [PMID: 35713855 PMCID: PMC9273535 DOI: 10.1007/s11695-022-06146-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/03/2022] [Accepted: 06/03/2022] [Indexed: 11/25/2022]
Abstract
Background Machine learning (ML) has been successful in several fields of healthcare, however the use of ML within bariatric surgery seems to be limited. In this systematic review, an overview of ML applications within bariatric surgery is provided. Methods The databases PubMed, EMBASE, Cochrane, and Web of Science were searched for articles describing ML in bariatric surgery. The Cochrane risk of bias tool and the PROBAST tool were used to evaluate the methodological quality of included studies. Results The majority of applied ML algorithms predicted postoperative complications and weight loss with accuracies up to 98%. Conclusions In conclusion, ML algorithms have shown promising capabilities in the prediction of surgical outcomes after bariatric surgery. Nevertheless, the clinical introduction of ML is dependent upon the external validation of ML.
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Affiliation(s)
- Mustafa Bektaş
- Department of Gastrointestinal Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
| | - Beata M M Reiber
- Department of Gastrointestinal Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands
| | - Jaime Costa Pereira
- Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, the Netherlands
| | - George L Burchell
- Medical Library Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands
| | - Donald L van der Peet
- Department of Gastrointestinal Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands
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15
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Buis DTP, Sieswerda E, Kouijzer IJE, Huynh WY, Burchell GL, Berrevoets MAH, Prins JM, Sigaloff KCE. [18F]FDG-PET/CT in Staphylococcus aureus bacteremia: a systematic review. BMC Infect Dis 2022; 22:282. [PMID: 35331165 PMCID: PMC8943998 DOI: 10.1186/s12879-022-07273-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/04/2022] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES [18F]FDG-PET/CT is used for diagnosing metastatic infections in Staphylococcus aureus bacteremia (SAB) and guidance of antibiotic treatment. The impact of [18F]FDG-PET/CT on outcomes remains to be determined. The aim of this systematic review was to summarize the effects of [18F]FDG-PET/CT on all-cause mortality and new diagnostic findingsin SAB. METHODS We systematically searched PubMed, EMBASE.com, Web of Science, and Wiley's Cochrane library from inception to 29 January 2021. Eligible studies were randomized controlled trials, clinically controlled trials, prospective and retrospective cohort studies, and case-control studies investigating the effects of [18F]FDG-PET/CT in hospitalized adult patients with SAB. We excluded studies lacking a control group without [18F]FDG-PET/CT. Risk of bias was assessed using the ROBINS-I tool and certainty of evidence using the GRADE approach by two independent reviewers. RESULTS We identified 1956 studies, of which five were included in our qualitative synthesis, including a total of 880 SAB patients. All studies were non-randomized and at moderate or serious risk of bias. Four studies, including a total of 804 patients, reported lower mortality in SAB patients that underwent [18F]FDG-PET/CT. One study including 102 patients reported more detected metastatic foci in the participants in whom [18F]FDG-PET/CT was performed. DISCUSSION We found low certainty of evidence that [18F]FDG-PET/CT reduces mortality in patients with SAB. This effect is possibly explained by a higher frequency of findings guiding optimal antibiotic treatment and source control interventions.
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Affiliation(s)
- D T P Buis
- Department of Internal Medicine, Division of Infectious Diseases, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - E Sieswerda
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - I J E Kouijzer
- Radboudumc, Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - W Y Huynh
- Department of Internal Medicine, Division of Infectious Diseases, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - G L Burchell
- Medical Library, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - M A H Berrevoets
- Department of Internal Medicine, Division of Infectious Diseases, Elisabeth TweeSteden Hospital, Tilburg, The Netherlands
| | - J M Prins
- Department of Internal Medicine, Division of Infectious Diseases, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - K C E Sigaloff
- Department of Internal Medicine, Division of Infectious Diseases, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
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16
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Bektaş M, Tuynman JB, Costa Pereira J, Burchell GL, van der Peet DL. Machine Learning Algorithms for Predicting Surgical Outcomes after Colorectal Surgery: A Systematic Review. World J Surg 2022; 46:3100-3110. [PMID: 36109367 PMCID: PMC9636121 DOI: 10.1007/s00268-022-06728-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2022] [Indexed: 01/14/2023]
Abstract
BACKGROUND Machine learning (ML) has been introduced in various fields of healthcare. In colorectal surgery, the role of ML has yet to be reported. In this systematic review, an overview of machine learning models predicting surgical outcomes after colorectal surgery is provided. METHODS Databases PubMed, EMBASE, Cochrane, and Web of Science were searched for studies using machine learning models for patients undergoing colorectal surgery. To be eligible for inclusion, studies needed to apply machine learning models for patients undergoing colorectal surgery. Absence of machine learning or colorectal surgery or studies reporting on reviews, children, study abstracts were excluded. The Probast risk of bias tool was used to evaluate the methodological quality of machine learning models. RESULTS A total of 1821 studies were analysed, resulting in the inclusion of 31 articles. A vast proportion of ML algorithms have been used to predict the course of disease and response to neoadjuvant chemoradiotherapy. Radiomics have been applied most frequently, along with predictive accuracies up to 91%. However, most studies included a retrospective study design without external validation or calibration. CONCLUSIONS Machine learning models have shown promising potential in predicting surgical outcomes after colorectal surgery. However, large-scale data is warranted to bridge the gap between calibration and external validation. Clinical implementation is needed to demonstrate the contribution of ML within daily practice.
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Affiliation(s)
- Mustafa Bektaş
- Department of Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Jurriaan B. Tuynman
- Department of Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Jaime Costa Pereira
- Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - George L. Burchell
- Medical Library, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Donald L. van der Peet
- Department of Surgery, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
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17
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Juncker HG, Ruhé EJM, Burchell GL, van den Akker CHP, Korosi A, van Goudoever JB, van Keulen BJ. The Effect of Pasteurization on the Antioxidant Properties of Human Milk: A Literature Review. Antioxidants (Basel) 2021; 10:antiox10111737. [PMID: 34829608 PMCID: PMC8614754 DOI: 10.3390/antiox10111737] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 11/16/2022] Open
Abstract
High rates of oxidative stress are common in preterm born infants and have short- and long-term consequences. The antioxidant properties of human milk limits the consequences of excessive oxidative damage. However, as the mother's own milk it is not always available, donor milk may be provided as the best alternative. Donor milk needs to be pasteurized before use to ensure safety. Although pasteurization is necessary for safety reasons, it may affect the activity and concentration of several biological factors, including antioxidants. This literature review describes the effect of different pasteurization methods on antioxidant properties of human milk and aims to provide evidence to guide donor milk banks in choosing the best pasteurization method from an antioxidant perspective. The current literature suggests that Holder pasteurization reduces the antioxidant properties of human milk. Alternative pasteurization methods seem promising as less reduction is observed in several studies.
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Affiliation(s)
- Hannah G. Juncker
- Amsterdam UMC, Emma Children’s Hospital, Department of Pediatrics, Amsterdam Reproduction & Development Research Institute, 1105 AZ Amsterdam, The Netherlands; (H.G.J.); (E.J.M.R.); (B.J.v.K.)
- Swammerdam Institute for Life Sciences—Center for Neuroscience, University of Amsterdam, 1098 XH Amsterdam, The Netherlands;
| | - Eliza J. M. Ruhé
- Amsterdam UMC, Emma Children’s Hospital, Department of Pediatrics, Amsterdam Reproduction & Development Research Institute, 1105 AZ Amsterdam, The Netherlands; (H.G.J.); (E.J.M.R.); (B.J.v.K.)
| | - George L. Burchell
- Medical Library, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands;
| | - Chris H. P. van den Akker
- Amsterdam UMC, Emma Children’s Hospital, Department of Pediatrics–Neonatology, 1105 AZ Amsterdam, The Netherlands;
| | - Aniko Korosi
- Swammerdam Institute for Life Sciences—Center for Neuroscience, University of Amsterdam, 1098 XH Amsterdam, The Netherlands;
| | - Johannes B. van Goudoever
- Amsterdam UMC, Emma Children’s Hospital, Department of Pediatrics, Amsterdam Reproduction & Development Research Institute, 1105 AZ Amsterdam, The Netherlands; (H.G.J.); (E.J.M.R.); (B.J.v.K.)
- Correspondence:
| | - Britt J. van Keulen
- Amsterdam UMC, Emma Children’s Hospital, Department of Pediatrics, Amsterdam Reproduction & Development Research Institute, 1105 AZ Amsterdam, The Netherlands; (H.G.J.); (E.J.M.R.); (B.J.v.K.)
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18
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Tjon JK, Lakeman P, van Leeuwen E, Waisfisz Q, Weiss MM, Tan-Sindhunata GMB, Nikkels PGJ, van der Voorn PJP, Salomons GS, Burchell GL, Linskens IH, van der Knoop BJ, de Vries JIP. Fetal akinesia deformation sequence and massive perivillous fibrin deposition resulting in fetal death in six fetuses from one consanguineous couple, including literature review. Mol Genet Genomic Med 2021; 9:e1827. [PMID: 34636181 PMCID: PMC8606203 DOI: 10.1002/mgg3.1827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/02/2021] [Accepted: 09/16/2021] [Indexed: 12/02/2022] Open
Abstract
Background Massive perivillous fibrin deposition (MPFD) is associated with adverse pregnancy outcomes and is mainly caused by maternal factors with limited involvement of fetal or genetic causes. We present one consanguineous couple with six fetuses developing Fetal Akinesia Deformation Sequence (FADS) and MPFD, with a possible underlying genetic cause. This prompted a literature review on prevalence of FADS and MPFD. Methods Fetal ultrasound examination, motor assessment, genetic testing, postmortem examination, and placenta histology are presented (2009–2019). Literature was reviewed for the association between congenital anomalies and MPFD. Results All six fetuses developed normally during the first trimester. Thereafter, growth restriction, persistent flexed position, abnormal motility, and contractures in 4/6, consistent with FADS occurred. All placentas showed histologically confirmed MPFD. Genetic analyses in the five available cases showed homozygosity for two variants of unknown significance in two genes, VARS1 (OMIM*192150) and ABCF1 (OMIM*603429). Both parents are heterozygous for these variants. From 63/1999 manuscripts, 403 fetal outcomes were mobilized. In 14/403 fetuses, congenital abnormalities in association with MPFD were seen of which two fetuses with contractures/FADS facial anomalies. Conclusion The low prevalence of fetal contractures/FADS facial anomalies in association with MPFD in the literature review supports the possible fetal or genetic contribution causing FADS and MPFD in our family. This study with literature review supports the finding that fetal, fetoplacental, and/or genetic components may play a role in causing a part of MPFDs.
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Affiliation(s)
- Jill K Tjon
- Department of Obstetrics and Gynaecology, Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Phillis Lakeman
- Department of Clinical Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Elisabeth van Leeuwen
- Department of Obstetrics and Gynaecology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Quinten Waisfisz
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Marjan M Weiss
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gita M B Tan-Sindhunata
- Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Peter G J Nikkels
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Gajja S Salomons
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - George L Burchell
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ingeborg H Linskens
- Department of Obstetrics and Gynaecology, Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bloeme J van der Knoop
- Department of Obstetrics and Gynaecology, Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Johanna I P de Vries
- Department of Obstetrics and Gynaecology, Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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