Evidence map›Paper›PMID 42731843›Full record

SynthesisBMJ open2026

Low-carbohydrate diet score subtypes and all-cause mortality in general and chronic disease populations: a systematic review and meta-analysis of prospective cohort studies.

Tran Quang Duc, Khanh Nguyen Di

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

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

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

What it found

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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

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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.

Tran Quang DucHUTECH Institute of Applied Sciences, HUTECH University, Ho Chi Minh City, Vietnam.
Khanh Nguyen DiFaculty of Technology, Dong Nai Technology University, Dong Nai, Vietnam nguyendikhanh@dntu.edu.vn.ORCID http://orcid.org/0000-0001-7937-8695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine associations of overall, healthy and unhealthy low-carbohydrate diet (LCD) scores with all-cause mortality in general and chronic disease populations. Healthy and unhealthy subtypes were compared with assess whether the observed associations depend on macronutrient quality rather than carbohydrate restriction alone.

designSystematic review and pairwise category meta-analysis. DATA SOURCES: PubMed, MEDLINE, ProQuest Medical Database and Web of Science Core Collection were searched from inception to 12 May 2026. ELIGIBILITY CRITERIA: Prospective cohort studies of adults assessing LCD adherence using a validated three-macronutrient composite score and reporting HRs for all-cause mortality were eligible. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently extracted data and assessed study quality using the Newcastle-Ottawa Scale (NOS). Random-effects meta-analyses compared each higher reported LCD category with the lowest category, stratified by LCD score subtype and population type. Certainty of evidence was assessed using NutriGrade.

results18 prospective cohort studies included 779 158 participants and 219 457 deaths; all scored 7-9/9 on the NOS. In chronic disease populations, the highest healthy LCD category was associated with lower mortality than the lowest category (HR 0.72, 95% CI 0.69 to 0.76; I²=0%; high certainty), as was the highest overall LCD category (HR 0.85, 95% CI 0.75 to 0.96; I²=68%; high certainty). In the general population, the highest healthy LCD category was not associated with lower mortality than the lowest category (HR 0.93, 95% CI 0.85 to 1.01; I²=69%; moderate certainty), and neither was the highest overall LCD category (HR 0.96, 95% CI 0.90 to 1.03; I²=87%; low certainty). Unhealthy LCD scores were not associated with mortality in either population.

conclusionsHealthy LCD adherence was associated with lower all-cause mortality, particularly among individuals with chronic diseases. Unhealthy LCD scores were not associated with mortality in either population, suggesting that macronutrient quality and source may matter more than carbohydrate reduction alone.

Indexed as

Diet, Carbohydrate-RestrictedCause of DeathChronic DiseaseHumansProspective StudiesChronic DiseaseMeta-AnalysisMortalityNUTRITION & DIETETICS

Identifiers

PMID42731843
PMCPMC13583745

What OpenQuestion holds

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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.