Evidence map›Paper›PMID 30905254›Full record

Observational studyJournal of the American Heart Association2019

Relationship Between Body Mass Index, Antidiabetic Agents, and Midterm Mortality in Patients With Both Type 2 Diabetes Mellitus and Acute Coronary Syndrome.

Chien-Boon Jong, Hung-Yuan Li, Shin-Liang Pan, Mu-Yang Hsieh, Fang-Ying Su, Kuan-Chun Chen, Wei-Hsian Yin, Shih-Hung Chan, Yen-Wen Wu, Kuo-Yung Wang and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The obesity paradox and diabetes.Eating and weight disorders : EWD · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
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

13 authors at 6 institutions in 1 country.

Chien-Boon Jong1 Department of Internal Medicine National Taiwan University Hospital Hsin-Chu Taiwan.
Hung-Yuan Li2 Department of Internal Medicine National Taiwan University Hospital Taipei Taiwan.
Shin-Liang Pan3 Department of Physical Medicine and Rehabilitation National Taiwan University Hospital Hsin-Chu Branch Hsin-Chu Taiwan.
Mu-Yang Hsieh1 Department of Internal Medicine National Taiwan University Hospital Hsin-Chu Taiwan.
Fang-Ying Su4 Biotechology R&D Center National Taiwan University Hospital Hsin-Chu Branch Hsin-Chu Taiwan.
Kuan-Chun Chen7 Institute of Emergency and Critical Care Medicine School of Medicine National Yang-Ming University Taipei Taiwan.
Wei-Hsian Yin9 Division of Cardiology Heart Center Cheng Hsin General Hospital Taipei Taiwan.
Shih-Hung Chan11 Department of Internal Medicine National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan.
Yen-Wen Wu8 School of Medicine National Yang-Ming University Taipei Taiwan.
Kuo-Yung Wang13 Department of Medicine Cardiovascular Center Taichung Veterans General Hospital Taichung Taiwan.
Kuan-Cheng Chang15 Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan.
Juey-Jen Hwang17 Division of Cardiovascular Department of Internal Medicine National Taiwan University College of Medicine and Hospital Taipei Taiwan.
Chih-Cheng Wu5 Cardiovascular Center National Taiwan University Hospital Hsin-Chu Branch Hsin-Chu Taiwan.
National Taiwan University Hospital · TWNational Taiwan University · TWNational Yang Ming Chiao Tung University · TWChina Medical University · TWNational Cheng Kung University Hospital · TWTaichung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The aim of this study was to determine the influence of various antidiabetic therapies on the relationship between body mass index and all-cause mortality in patients with diabetes mellitus and acute coronary syndrome. Methods and Results This was a prospective, observational study comprising 1193 patients diagnosed with type 2 diabetes mellitus and acute coronary syndrome. The patients were stratified into 4 body mass index categories, and their mortality rates were compared using time-dependent Cox regression analysis using normal weight (body mass index, 18.5-23.9) as the reference. Subsequently, the influence of antidiabetic therapies on the association between BMI and mortality were analyzed. Seventy-four patients (6.2%) died over 2 years of follow-up. The mortality rate was lowest in the class I obese group (3.35%) and highest in the normal-weight group (9.67%). After adjusting for covariates, class I obesity paradoxically remained significantly protective against mortality compared with normal weight (hazard ratio, 0.141; P=0.049); interaction term analysis showed that insulin therapy influenced this "obesity paradox" ( P=0.045). When the patients were stratified by insulin use, the protective effect of obesity disappeared in the insulin-treated patients but persisted in the non-insulin-treated patients. Conclusions In patients with type 2 diabetes mellitus and acute coronary syndrome, the relationship between body mass index and mortality rate is U-shaped, with class I obesity representing the nadir and normal weight the peak. The protective effect of obesity disappeared in patients treated with insulin.

Indexed as

MortalityAcute Coronary SyndromeAgedAngina, UnstableBody Mass IndexCause of DeathComorbidityDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsMaleMiddle AgedNon-ST Elevated Myocardial InfarctionObesityProportional Hazards ModelsHypoglycemic Agentsacute coronary syndromeinsulinmortalityobesity paradoxtype 2 diabetes mellitus

Identifiers

PMID30905254
PMCPMC6509713
OpenAlexW2923245888

What OpenQuestion holds

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LicenceCC BY-NC
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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.