Evidence map›Paper›PMID 42690449›Full record

ReviewActa diabetologica2026

Load-capacity index and cardiometabolic risk: a longitudinal meta-analysis.

Naseem Eisa, Omar Barood

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In one paragraph

Review in Acta diabetologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Naseem EisaCommunity Health Partners, 7230 North Millbrook Avenue, Fresno, CA, 93720, USA. naseembaeisa@gmail.com.ORCID http://orcid.org/0009-0003-2963-7259
Omar BaroodFaculty of Medicine, Damascus University, Damascus, Syria.ORCID http://orcid.org/0009-0004-7485-5439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe load-capacity index (LCI), defined as the ratio of fat mass to fat-free mass, represents a novel composite biomarker integrating metabolic load and functional capacity. This systematic review and meta-analysis aimed to determine the longitudinal association between LCI and incident cardiometabolic disease risk.

methodsWe systematically searched PubMed, Embase, Web of Science, Cochrane Central, and Scopus from inception through January 2026 for longitudinal cohort studies reporting the association between LCI and cardiometabolic outcomes. Random-effects meta-analysis was performed using the DerSimonian-Laird method. Heterogeneity was assessed using Cochran's Q, τ², and I² statistics. Study-specific log(HR) values and standard errors are reported in the Supplementary Material to enable full reproducibility.

resultsEighteen longitudinal cohort studies comprising 129,777 participants and 5647 cardiometabolic events were included (mean follow-up: 11.4 years). Higher LCI was significantly associated with increased cardiometabolic risk (pooled HR = 1.174, 95% CI: 1.145-1.204; p < 0.0001). There was low between-study heterogeneity (I² = 11.6%; Cochran's Q = 19.22, df = 17, p = 0.3159; τ² = 0.000347). The association was consistent across age groups, sex, and body composition assessment methods (p-interaction > 0.05 for all). LCI provided incremental predictive value beyond established risk factors (NRI: 0.15-0.28; ΔC-statistic: 0.025-0.041).

conclusionsHigher LCI is independently and consistently associated with increased cardiometabolic disease risk across diverse populations (HR = 1.174, corresponding to a 17.4% increased risk per unit increase). LCI provides clinically meaningful incremental predictive value and warrants consideration as a robust supplementary tool to guide preventive interventions.

Indexed as

Bioelectrical impedance analysisBody compositionCardiometabolic diseaseLoad-capacity indexMeta-analysisRisk prediction

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Registered trials

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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.