ArticleFrontiers in endocrinology2020
Risk Assessment of Sarcopenia in Patients With Type 2 Diabetes Mellitus Using Data Mining Methods.
Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prediction models for sarcopenia in older adults in China: a scoping review.Frontiers in medicine · 2026Pooled it
- Risk prediction models for sarcopenia in elderly people: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Circulating Mediators of Apoptosis and Inflammation in Aging; Physical Exercise Intervention.International journal of environmental research and public health · 2021Trial
- MicroRNA Crossroads in PCOS and Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- MicroRNA Crossroads in PCOS and Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease.Biomedicines · 2024Article
- Sarcopenia prediction using shear-wave elastography, grayscale ultrasonography, and clinical information with machine learning fusion techniques: feature-level fusion vs. score-level fusion.Scientific reports · 2024Article
- Performance Evaluation of Machine Learning Algorithms for Sarcopenia Diagnosis in Older Adults.Healthcare (Basel, Switzerland) · 2023Article
- Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme-A Post Hoc Analysis.Journal of personalized medicine · 2022Article
- A Machine Learning Approach to Predicting Diabetes Complications.Healthcare (Basel, Switzerland) · 2021Article
- Machine learning model for predicting excessive muscle loss during neoadjuvant chemoradiotherapy in oesophageal cancer.Journal of cachexia, sarcopenia and muscle · 2021Article
- Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms.Journal of clinical medicine · 2021Article
- Distal Symmetric Polyneuropathy Identification in Type 2 Diabetes Subjects: A Random Forest Approach.Healthcare (Basel, Switzerland) · 2021Article
- Evaluation of Prevalence of the Sarcopenia Level Using Machine Learning Techniques: Case Study in Tijuana Baja California, Mexico.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.