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Schlussel MM, Sharp MK, de Beyer JA, Kirtley S, Logullo P, Dhiman P, MacCarthy A, Koroleva A, Speich B, Bullock GS, Moher D, Collins GS. Reporting guidelines used varying methodology to develop recommendations. J Clin Epidemiol 2023; 159:246-256. [PMID: 36965598 DOI: 10.1016/j.jclinepi.2023.03.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 03/13/2023] [Accepted: 03/21/2023] [Indexed: 03/27/2023]
Abstract
BACKGROUND AND OBJECTIVES We investigated the developing methods of reporting guidelines in the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network's database. METHODS In October 2018, we screened all records and excluded those not describing reporting guidelines from further investigation. Twelve researchers performed duplicate data extraction on bibliometrics, scope, development methods, presentation, and dissemination of all publications. Descriptive statistics were used to summarize the findings. RESULTS Of the 405 screened records, 262 described a reporting guidelines development. The number of reporting guidelines increased over the past 3 decades, from 5 in the 1990s and 63 in the 2000s to 157 in the 2010s. Development groups included 2-151 people. Literature appraisal was performed during the development of 56% of the reporting guidelines; 33% used surveys to gather external opinion on items to report; and 42% piloted or sought external feedback on their recommendations. Examples of good reporting for all reporting items were presented in 30% of the reporting guidelines. Eighteen percent of the reviewed publications included some level of spin. CONCLUSION Reporting guidelines have been developed with varying methodology. Reporting guideline developers should use existing guidance and take an evidence-based approach, rather than base their recommendations on expert opinion of limited groups of individuals.
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Affiliation(s)
- Michael M Schlussel
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK.
| | - Melissa K Sharp
- Health Research Board Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland, Dublin DO2 H638, Ireland
| | - Jennifer A de Beyer
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Shona Kirtley
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Patricia Logullo
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Paula Dhiman
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK; National Institute for Health Research, Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Angela MacCarthy
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | | | - Benjamin Speich
- CLEAR Methos Center, Division of Clinical Epidemiology, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Garrett S Bullock
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK; Department of Orthopaedic Surgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Gary S Collins
- UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK; National Institute for Health Research, Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
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Bander A, Murphy-Alford AJ, Owino VO, Loechl CU, Wells JC, Gluning I, Kerac M. Childhood BMI and other measures of body composition as a predictor of cardiometabolic non-communicable diseases in adulthood: a systematic review. Public Health Nutr 2022; 26:1-28. [PMID: 36274635 DOI: 10.1017/s136898002200235x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE There is growing evidence that childhood malnutrition is associated with non-communicable diseases (NCD) in adulthood and that body composition mediates some of this association. This review aims to determine if childhood body composition can be used to predict later-life cardiometabolic NCD and which measures of body composition predicts future NCD. DESIGN Electronic databases were searched for articles where: children aged under 5 years had body composition measured; cardiometabolic health outcomes were measured a minimum of 10 years later. SETTING The databases Embase, Medline and Global Health were searched through July 2020. PARTICIPANTS Children aged under 5 years with a follow-up of minimum 10 years. RESULTS Twenty-nine studies met the inclusion criteria. Though a poor proxy measure of body composition, body mass index (BMI) was commonly reported (n 28, 97 %). 25 % of these studies included an additional measure (ponderal index or skinfold thickness). Few studies adjusted for current body size (n 11, 39 %). CONCLUSIONS Many studies reported that low infant BMI and high childhood BMI were associated with an increased risk of NCD-related outcomes in later life but no conclusions can be made about the exact timing of child malnutrition and consequent impact on NCD. Because studies focussed on BMI rather than direct measures of body composition, nothing can be said about which measures of body composition in childhood are most useful. Future research on child nutrition and long-term outcomes is urgently needed and should include validated body composition assessments as well as standard anthropometric and BMI measurements.
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Affiliation(s)
- Amela Bander
- Department of Population Health, London School of Hygiene and Tropical Medicine, LondonWC1E 7HT, UK
| | - Alexia J Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Victor O Owino
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia U Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Jonathan Ck Wells
- Population, Policy and Practice Research Teaching Department, University College London, London, UK
| | - Imara Gluning
- Brighton and Sussex University Hospitals Trust, Brighton, UK
| | - Marko Kerac
- Department of Population Health, London School of Hygiene and Tropical Medicine, LondonWC1E 7HT, UK
- Centre for Maternal, Adolescent, Reproductive & Child Health (MARCH), London School of Hygiene & Tropical Medicine, London, UK
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Sharp MK, Tokalić R, Gómez G, Wager E, Altman DG, Hren D. A cross-sectional bibliometric study showed suboptimal journal endorsement rates of STROBE and its extensions. J Clin Epidemiol 2019; 107:42-50. [PMID: 30423373 DOI: 10.1016/j.jclinepi.2018.11.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 10/10/2018] [Accepted: 11/06/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVES The STrengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement provides guidance on reporting observational studies. Many extensions have been created for specialized methods or fields. We determined endorsement prevalence and typology by journals in extension-related fields. STUDY DESIGN AND SETTING A published protocol defined search strategies to identify journals publishing observational studies (2007-2017) across seven fields relating to STROBE extensions. We extracted text regarding STROBE, seven STROBE extensions, reporting guidelines Consolidated Standards of Reporting Trials and Preferred Reporting Items for Systematic Reviews and Meta-Analyses, and transparent reporting documents/groups: International Committee of Medical Journal Editors, Committee on Publication Ethics (COPE), and the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) networks. Relationships between endorsing STROBE, endorsing other guidelines, and journal impact factor were tested using chi square and Mann-Whitney tests. RESULTS Of 257 unique journals, 12 (5%) required STROBE on submission, 22 (9%) suggested use, 12 (5%) recommended a "relevant guideline," 72 (28%) mentioned it indirectly (via editorial policies or International Committee of Medical Journal Editors recommendations), and 139 (54%) did not mention STROBE. The relevant extension was required by 2 (<1%) journals; 4 (1%) suggested use. STROBE endorsement was not associated with journal impact indices but was with Consolidated Standards of Reporting Trials and Preferred Reporting Items for Systematic Reviews and Meta-Analyses endorsements. CONCLUSION Reporting guideline endorsement rates are low; information is vague and scattered. Unambiguous language is needed to improve adherence to reporting guidelines and increase the quality of reporting.
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Affiliation(s)
- Melissa K Sharp
- Department of Psychology, University of Split, Faculty of Humanities and Social Sciences, Split, Croatia; INSERM, U1153 Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (CRESS), Methods of Therapeutic Evaluation of Chronic Diseases Team (METHODS), Paris, F-75014 France; Paris Descartes University, Sorbonne Paris Cité, France.
| | | | - Guadalupe Gómez
- Universitat Politècnica de Catalunya-BarcelonaTech, Departament d'Estadística i Investigació Operativa, Barcelona, Spain
| | - Elizabeth Wager
- Sideview, Buckinghamshire, UK; University of Split, School of Medicine, Split, Croatia
| | - Douglas G Altman
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Darko Hren
- Department of Psychology, University of Split, Faculty of Humanities and Social Sciences, Split, Croatia
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