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Record W4410981042 · doi:10.12669/pjms.41.6.12044

Effect of lean status on the mortality of patients with non-alcoholic fatty liver disease (NAFLD): A systematic review and meta-analysis

2025· review· en· W4410981042 on OpenAlexaboutno aff
Ping Miao, Zhanshe Shao, Jian‐Dong Jiang

Bibliographic record

VenuePakistan Journal of Medical Sciences · 2025
Typereview
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsnot available
FundersNatural Science Foundation of Zhejiang ProvinceNational Natural Science Foundation of China
KeywordsMedicineFatty liverMeta-analysisDiseaseInternal medicineAlcoholic liver diseaseGastroenterologyCirrhosis

Abstract

fetched live from OpenAlex

Objective: To investigate the impact of lean status as per body mass index (BMI) on mortality in cases of non-alcoholic fatty liver disease (NAFLD). Methods: A systematic search was conducted in PubMed, Embase, and Scopus to identify relevant studies published from the inception of each database up to July 31, 2024. Observational studies that reported data on the mortality outcomes of NAFLD patients with different BMI, and provided adjusted estimates were included. The Newcastle-Ottawa Scale (NOS) was used for quality assessment. Pooled effect sizes were reported as hazard ratio (HR) with 95% confidence intervals (CI). Results: Fourteen studies were included, of which majority were retrospective cohort studies (n=10). Objective assessment method for NAFLD i.e., imaging and/or biopsy was used in 10 studies. Compared to NAFLD patients with high BMI, lean patients had higher risk of all-cause mortality (HR 1.34, 95% CI: 1.23, 1.47), with no publication bias for any of the outcomes. Lean status correlated with elevated risk of liver disease-related mortality (HR 2.14, 95% CI: 1.18, 3.87) but had similar risk of cardiovascular (HR 0.92, 95% CI: 0.65, 1.30) and cancer-related mortality (HR 1.20, 95% CI: 0.90, 1.60). Conclusion: Lean status of NAFLD patients correlates with higher risk of all-cause and liver disease-related mortality compared to patients with high BMI. There is a need for tailored interventions and further research to understand specific mortality risks in this subgroup of patients. Registration No.: (PROSPERO CRD42024512065). doi: https://doi.org/10.12669/pjms.41.6.12044 How to cite this: Miao P, Shao Z, Jiang J. Effect of lean status on the mortality of patients with non-alcoholic fatty liver disease (NAFLD): A systematic review and meta-analysis. Pak J Med Sci. 2025;41(6):1845-1853. doi: https://doi.org/10.12669/pjms.41.6.12044 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.023
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.032
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.416
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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