The accuracy of screening tools for sarcopenia in older Chinese adults: a systematic review and meta-analysis

Machine learning for the prediction of diabetes-related amputation: a systematic review and meta-analysis of diagnostic test accuracy

Although machine learning is frequently used in medicine for predictive purposes, its accuracy in diabetes-related amputation (DRA) remains unclear. From establishing the database until December 2024, we conducted a comprehensive search of PubMed, Web of Science (WoS), Embase, Scopus, Cochrane Library, Wanfang, and the China National Knowledge Index (CNKI). The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under the curve (AUC), and Fagan plot analysis were used to assess the overall test performance of machine learning. Moreover, subgroup analysis and meta-regression were performed to search for possible sources of heterogeneity. Finally, sensitivity analysis and Deeks' funnel plot asymmetry test were used to evaluate the stability and publication bias, respectively. In the end, seven publications were included in this meta-analysis. The overall pooled diagnostic data were as follows: sensitivity, 0.72 (95% CI 0.69-0.75); specificity, 0.89 (95% CI 0.84-0.93); PLR, 3.62 (95% CI 3.36-3.89); NLR, 0.32 (95% CI 0.30-0.35); DOR, 13.55 (95% CI 11.72-15.67). The AUC was 0.81 (95% CI 0.77-0.84). The Fagan plot analysis showed that the positive post-test probability is 62% and the negative post-test probability is 7%. Subgroup analysis and meta-regression showed that both the level of bias and the year of publication were sources of heterogeneity in sensitivity and specificity. Sensitivity analysis confirmed the robustness of the results after excluding three outlier studies. The Deeks' funnel plot suggests that publication bias has no statistical significance (P > 0.05). In summary, our results suggest the moderate accuracy of machine learning in predicting DRA.

Associations between housing quality and sarcopenia among older adults: evidence from China and India

OBJECTIVES

Housing is an important social determinant of health. However, limited studies have focused on the relationship between housing quality and sarcopenia, especially in low- and middle-income countries. This study aims to examine the association between housing quality and sarcopenia in older adults in China and India.

METHODS

The study was based on the China Health and Retirement Longitudinal Study and Longitudinal Aging Study in India. Housing quality was evaluated by five indicators, including housing materials, water sources, sanitation facilities, main fuel for cooking, and availability of electricity. Housing quality is divided into three types: good (0-1 poor housing indicators), medium (2-3 poor housing indicators), and poor (4-5 poor housing indicators). Sarcopenia was evaluated according to the Asian Working Group for Sarcopenia (AWGS) 2019 Consensus. The logistic regression model was performed to examine the association between housing quality and sarcopenia.

RESULTS

The medium (OR = 1.69, 95%CI = 1.49-1.90) and poor housing quality (OR = 2.19, 95%CI = 1.89-2.54) were associated with sarcopenia in CHARLS. Similar results were also observed in the LASI with significantly higher prevalence of sarcopenia in medium (OR = 1.22, 95%CI = 1.11-1.33), and poor housing quality (OR = 1.60, 95%CI = 1.43-1.79). Moreover, we observed a linear relationship between housing quality and the prevalence of sarcopenia both in CHARLS and LASI (all P for trend <0.001).

CONCLUSIONS

Poorer housing quality was associated with a higher prevalence of sarcopenia in older adults in China and India. Housing quality improvement plans such as access to tap water, promotion of clean energy may have a positive effect on reducing the prevalence of sarcopenia.

Nomogram to screen older adult patients attending the radiology department for sarcopenia

BACKGROUND

Sarcopenia is an age-related syndrome that can impact the physical and mental health of older adults. However, it is often overlooked in clinical practice. Therefore, we aim to construct a nomogram based on simplified discriminant parameters for screening older adult patients for sarcopenia risk.

METHODS

This cross-sectional study included 654 patients aged ≥ 60 years who underwent an examination in the radiology department between October 2023 and June 2024. Patients were diagnosed with sarcopenia according to the method and cutoff value criteria proposed the Asian Working Group on Sarcopenia (AWGS) 2019 criteria. Calf circumference (CC), SARC-F score, mid-upper arm circumference (MUAC), and SARC-CalF score were used as simplified discriminant parameters for sarcopenia. The discriminative ability of these parameters for sarcopenia was assessed using receiver operating characteristic analysis. Additionally, we included each screening parameter and evaluated it's important for screening for the presence of sarcopenia via univariate and multivariate logistic regression analysis to develop a new screening nomogram model. The performance of the nomogram was evaluated using receiver operating characteristic curves, and the performance of the nomogram model was compared to that of CC, SARC-F, MUAC, and the SARC-CalF using the Delong test.

RESULTS

Of the 654 subjects, 120 (18.3%) were diagnosed with sarcopenia, and the areas under the curve (AUCs) of the CC, SARC-F, MUAC, and SARC-CalF were 0.73, 0.61, 0.66, and 0.70, respectively. The multivariate analysis results revealed that older age, male sex, low CC, low MUAC, and low strength were related to sarcopenia. A nomogram model constructed with these five variables had an AUC of 0.84. The DeLong test showed that the diagnostic efficacy of the joint model was significantly higher than that of CC, SARC-F, MUAC, and SARC-CalF.

CONCLUSIONS

Our simple nomogram based on simplified discriminant parameters offers personalized sarcopenia screening for older adult patients attending the radiology department.

The Diagnostic Accuracy and Cutoff Value of Phase Angle for Screening Sarcopenia: A Systematic Review and Meta-Analysis

OBJECTIVES

Phase angle (PhA) declines with age and is a reliable marker for muscle function, making it a potential screening indicator for sarcopenia. However, studies examined the reliability and validity of PhA for detecting sarcopenia, yielding inconsistent results. This meta-analysis aimed to evaluate the accuracy and cutoff value of PhA for screening sarcopenia and examine the potential confounding factors.

DESIGN

This is a meta-analysis.

SETTING AND PARTICIPANTS

PubMed, Embase, and Cochrane Library were searched up to September 18, 2023. Eighteen studies (6184 participants) were included reporting the diagnostic accuracy of PhA for screening sarcopenia.

METHODS

Pooled accuracy [ie, the computed area under the curve value (AUC)] and cutoff value interval for screening sarcopenia were estimated using a random-effects model. Meta-regression analyses were conducted to identify sources of heterogeneity.

RESULTS

The AUC value was 0.81. Pooled sensitivity and specificity were 80% and 70%. The calculated 95% CI of the cutoff value of PhA for screening sarcopenia falls between 4.54° and 5.25°. The results of meta-regression analyses showed that ethnicity, body mass index (BMI), health status, and diagnostic criteria were the main factors affecting the diagnostic accuracy for screening sarcopenia (with all P values < 0.01).

CONCLUSION AND IMPLICATIONS

PhA may serve as a robust screening tool for sarcopenia, and the recommended cutoff interval falls between 4.54° and 5.25°. Ethnicity, BMI, health status, and diagnostic criteria can affect PhA's efficacy in sarcopenia screening.

Use of the Ishii Test for screening sarcopenia in older adults: a systematic review with meta-analysis of diagnostic test accuracy (DTA) studies

BACKGROUND

The Ishii Test is recommended by the European Working Group on Sarcopenia in Older People (EWGSOP2), however the use of this technique is still little explored in the clinical context and the scientific literature.

OBJECTIVE

We aimed to verify the use of the Test of Ishii in screening for sarcopenia in older adults.

METHODS

We searched three electronic databases and two reviewers independently screened and assessed the studies. Studies with older adults (60 years or more) of both genders, no year or language restriction and which aimed to evaluate sarcopenia using the Ishii Test and another diagnostic criteria were selected. A summary of the ROC curve, sensitivity and specificity were performed using the MedCalc and SPSS software programs, respectively.

RESULTS

A total of 3,298 references were identified in the database, 278 by manually searching, and finally 11 studies were included for the review. The screening test showed good sensitivity and specificity in both genders. All studies showed values above the considered value for the Area Under the Curve (AUC) results, without discriminating power (0.500). Four studies used the original values, and five studies developed a new cut-off point. A summary of the AUC curve showed the diamond close to one, indicating that the Ishii test has good performance for screening sarcopenia (I2=83,66%; p<0.001; 95%CI: 69.38 to 91.28 for men; and I2=60.04%; p<0.001; 95%CI: 13.06 to 81.63 for women).

CONCLUSION

The Ishii Test can be considered a useful tool for the early identification of sarcopenia in older adults. However, further studies are still needed to understand the behavior of this screening tool.

TRIAL REGISTRATION

CRD42023424392.

Diagnostic value of HPV E6/E7 mRNA in screening for cervical intraepithelial neoplasia grade 2 or worse: A systematic review and meta‑analysis

Histology is considered the gold standard for diagnosing the pathological progress of cervical cancer development, while cervical intraepithelial neoplasia of grade 2 or worse (CIN2+) is the cutoff for intervention in clinical practice. The diagnostic value of human papillomavirus (HPV) E6/E7 mRNA in screening for CIN2+ has not been systematically summarized. A meta-analysis was conducted as part of the present study conducted to explore the diagnostic value of HPV E6/E7 mRNA in screening for CIN2+, aiming to provide a new marker for earlier clinical diagnosis of cervical cancer. The PubMed, Embase and Cochrane Library databases were searched from inception to May 2023. Studies reporting the true positive, false positive, true negative and false negative values in differentiating between CIN2+ and CIN2- were included, while duplicate publications, studies without full text, incomplete information or inability to conduct data extraction, animal experiments, reviews and systematic reviews were excluded. STATA software was used to analyze the data. A total of 2,224 patients were included of whom there were 1,274 patients with CIN2+ and 950 patients with CIN2-. The pooled sensitivity and specificity of the studies overall were 0.89 (95% CI, 0.84-0.92) and 0.59 (95% CI, 0.46-0.71), respectively; the positive likelihood ratio (LR) and the negative LR of the studies overall were 2.31 (95% CI, 1.61-3.32) and 0.21 (95% CI, 0.14-0.30), respectively. The pooled diagnostic odds ratio of the studies overall was 11.53 (95% CI, 6.85-19.36). Additionally, the area under the curve was 0.88. The analysis indicated that HPV E6/E7 mRNA has high diagnostic efficacy for CIN2+. HPV E6/E7 mRNA is highly sensitive in the diagnosis of CIN2+, which helps to reduce the rate of missed diagnoses. However, lower specificity may lead to a higher number of misdiagnoses in healthy patients.