ArticleBMC endocrine disorders2026
A combined model integrating adiponectin and anthropometric indices for the identification of insulin resistance in patients with type 2 diabetes mellitus.
Article in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Abstract
backgroundTo investigate the associations of adiponectin (APN), body mass index (BMI), and waist-to-hip ratio (WHR) with insulin resistance (IR) in patients with type 2 diabetes mellitus (T2DM), and to evaluate a combined model for discriminatory performance and potential clinical value for the identification of IR.
methodsA total of 394 hospitalized patients with T2DM were retrospectively analyzed. Participants were divided into low-IR and high-IR groups based on the median HOMA-IR. Clinical data were then analyzed by Spearman's correlation, trend analysis, multiple linear regression, logistic regression, and receiver operating characteristic (ROC) curve analysis.
resultsCompared with the low-IR group, patients in the high-IR group exhibited a higher BMI and WHR but lower APN levels (P < 0.05 for all). Furthermore, APN was negatively correlated with HOMA-IR, whereas BMI and WHR were positively correlated (all P < 0.01). Multivariable analysis further revealed that APN (β = -0.335), BMI (β = 0.243), and WHR (β = 0.138) were independently associated with IR (P < 0.01 for all). The combined model showed better discrimination (AUC = 0.82) than APN (0.78), WHR (0.72), and BMI (0.69) alone.
conclusionsAPN, BMI, and WHR were independently associated with IR in patients with T2DM. Our combined model demonstrates superior discriminative performance to individual indicators and may be useful for identifying individuals at high risk of IR. CLINICAL TRIAL NUMBER: Not applicable.
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.