Evidence map›Paper›PMID 39021808›Full record

ArticleiScience2024

Prospective cohort studies underscore the association of abnormal glycemic measures with all-cause and cause-specific mortalities.

Juzhong Ke, Xiaonan Ruan, Wenbin Liu, Xiaolin Liu, Kang Wu, Hua Qiu, Xiaonan Wang, Yibo Ding, Xiaojie Tan, Zhitao Li and 1 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Triglyceride-Glucose Index and Mortality Risk in the General Population: A Systematic Review and Meta-analysis of Prospective Studies.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
    Pooled it
  2. Pooled it
  3. Observational
  4. A Clinical Comprehensive Evaluation of Long-Acting GLP-1 Receptor Agonists in Type 2 Diabetes Management.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
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

11 authors.

Juzhong KeCenter for Disease Control and Prevention of Pudong New Area, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, P.R. China.
Xiaonan RuanCenter for Disease Control and Prevention of Pudong New Area, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, P.R. China.
Wenbin LiuDepartment of Epidemiology, Second Military Medical University, Shanghai, P.R. China.
Xiaolin LiuCenter for Disease Control and Prevention of Pudong New Area, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, P.R. China.
Kang WuCenter for Disease Control and Prevention of Pudong New Area, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, P.R. China.
Hua QiuCenter for Disease Control and Prevention of Pudong New Area, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, P.R. China.
Xiaonan WangCenter for Disease Control and Prevention of Pudong New Area, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, P.R. China.
Yibo DingDepartment of Epidemiology, Second Military Medical University, Shanghai, P.R. China.
Xiaojie TanDepartment of Epidemiology, Second Military Medical University, Shanghai, P.R. China.
Zhitao LiCenter for Disease Control and Prevention of Pudong New Area, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, P.R. China.
Guangwen CaoDepartment of Epidemiology, Second Military Medical University, Shanghai, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and triglyceride-glucose index (TyG index) in predicting all-cause and cause-specific mortalities remains elusive. This study included 384,420 adults from the Shanghai cohort and the UK Biobank (UKB) cohort. After multivariable adjustment in the Cox models, FPG ≥7.0 mmol/L or HbA1c ≥ 6.5% increased the risk of all-cause mortality, FPG ≥5.6 mmol/L or HbA1c ≥ 6.5% increased CVD-related mortality, and higher or lower TyG index increased all-cause and CVD-related mortalities in the Shanghai cohort; FPG ≥5.6 mmol/L, HbA1c ≥ 5.7%, TyG index <8.31 or ≥9.08 increased the risks of all-cause, CVD-related, and cancer-related mortalities in the UKB cohort. FPG or HbA1c increased the discrimination of the conventional risk model in predicting all-cause and CVD-related mortalities in both cohorts. Thus, increased levels of FPG and HbA1c and U-shaped TyG index increase the risks of all-cause especially CVD-related mortalities.

Indexed as

EndocrinologyHuman metabolismPublic health

Identifiers

PMID39021808
PMCPMC11253504

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.