Evidence map›Paper›PMID 33566870›Full record

Trial reportPloS one2021

Obesity and mortality after the first ischemic stroke: Is obesity paradox real?

Durgesh Chaudhary, Ayesha Khan, Mudit Gupta, Yirui Hu, Jiang Li, Vida Abedi, Ramin Zand

Open access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Durgesh ChaudharyGeisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania, United States of America.ORCID 0000-0002-2683-5482
Ayesha KhanGeisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania, United States of America.
Mudit GuptaPhenomic Analytics and Clinical Data Core, Geisinger Health System, Danville, Pennsylvania, United States of America.
Yirui HuDepartment of Population Health Sciences, Geisinger Health System, Danville, Pennsylvania, United States of America.
Jiang LiDepartment of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, Pennsylvania, United States of America.
Vida AbediDepartment of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, Pennsylvania, United States of America.
Ramin ZandGeisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania, United States of America.
Geisinger Health System · USGeisinger Neuroscience Institute · USBiocom · US

Funding

Electronic Health Record Data and Predictive Analytic Methods for HFR56HL116832 · NHLBI · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI YAN, XIAOWEI SHERRY · 2018 to 2018
$761k
NHLBI NIH HHS R56 HL116832
6 · The paper itself

Abstract

background and purposeObesity is an established risk factor for ischemic stroke but the association of increased body mass index (BMI) with survival after ischemic stroke remains controversial. Many studies have shown that increased BMI has a "protective" effect on survival after stroke while other studies have debunked the "obesity paradox". This study aimed at examining the relationship between BMI and all-cause mortality at one year in first-time ischemic stroke patients using a large dataset extracted from different resources including electronic health records.

methodsThis was a retrospective cohort study of consecutive ischemic stroke patients captured in our Geisinger NeuroScience Ischemic Stroke (GNSIS) database. Survival in first-time ischemic stroke patients in different BMI categories was analyzed using Kaplan Meier survival curves. The predictors of mortality at one-year were assessed using a stratified Cox proportional hazards model.

resultsAmong 6,703 first-time ischemic stroke patients, overweight and obese patients were found to have statistically decreased hazard ratio (HR) compared to the non-overweight patients (overweight patients- HR = 0.61 [95% CI, 0.52-0.72]; obese patients- HR = 0.56 [95% CI, 0.48-0.67]). Predictors with a significant increase in the hazard ratio for one-year mortality were age at the ischemic stroke event, history of neoplasm, atrial fibrillation/flutter, diabetes, myocardial infarction and heart failure.

conclusionOur study results support the obesity paradox in ischemic stroke patients as shown by a significantly decreased hazard ratio for one-year mortality among overweight and obese patients in comparison to non-overweight patients.

Indexed as

Body Mass IndexIschemic StrokeObesityAgedAged, 80 and overDisease-Free SurvivalFemaleHumansMaleMiddle AgedRetrospective StudiesSurvival Rate

Identifiers

PMID33566870
PMCPMC7875337
OpenAlexW3128586333

What OpenQuestion holds

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LicenceCC BY
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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.