Evidence map›Paper›PMID 35330003›Full record

ArticleJournal of clinical medicine2022

The Obesity Paradox in Real-World Nation-Wide Cohort of Patients Admitted for a Stroke in the U.S.

Guy Rozen, Gabby Elbaz-Greener, Gilad Margolis, Ibrahim Marai, Edwin K Heist, Jeremy N Ruskin, Shemy Carasso, Ariel Roguin, Edo Y Birati, Offer Amir

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  11. Prediction of early neurological deterioration in acute ischemic stroke patients treated with intravenous thrombolysis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
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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

10 authors at 4 institutions in 2 countries.

Guy RozenDivision of Cardiovascular Medicine, Hillel Yaffe Medical Center, Hadera 38100, Israel.ORCID 0000-0002-0335-9225
Gabby Elbaz-GreenerDepartment of Cardiology, Hadassah Medical Center, Jerusalem 9574401, Israel.ORCID 0000-0003-1922-9174
Gilad MargolisDivision of Cardiovascular Medicine, Hillel Yaffe Medical Center, Hadera 38100, Israel.
Ibrahim MaraiThe Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Baruch Padeh Medical Center, Poriya 1528001, Israel.
Edwin K HeistCardiac Arrhythmia Service, Massachusetts General Hospital, Boston, MA 02114, USA.
Jeremy N RuskinCardiac Arrhythmia Service, Massachusetts General Hospital, Boston, MA 02114, USA.
Shemy CarassoThe Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Baruch Padeh Medical Center, Poriya 1528001, Israel.
Ariel RoguinDivision of Cardiovascular Medicine, Hillel Yaffe Medical Center, Hadera 38100, Israel.
Edo Y BiratiThe Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Baruch Padeh Medical Center, Poriya 1528001, Israel.
Offer AmirDepartment of Cardiology, Hadassah Medical Center, Jerusalem 9574401, Israel.
Bar-Ilan University · ILHillel Yaffe Medical Center · ILHebrew University of Jerusalem · ILMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity has been associated with increased incidence and severity of various cardiovascular risk factors and increased risk for stroke. However, the evidence of its effect on outcomes in stroke victims have been equivocal. We aimed to investigate the distribution of BMI in a nation-wide cohort of individuals, admitted for a stroke, and the relationship between BMI and in-hospital mortality. Methods: Data from the U.S. National Inpatient Sample (NIS) was collected, to identify hospitalizations for stroke, between October 2015 and December 2016. The patients were sub-divided into six groups based on their BMI: underweight, normal weight, overweight, obese I, obese II and extremely obese groups. Various sociodemographic and clinical parameters were gathered, and incidence of mortality and the length of hospital stay were analyzed. Multivariable analysis was performed to identify independent predictors of in-hospital mortality. Results: A weighted total of 84,185 hospitalizations for stroke were included in the analysis. The approximate mean patients aged was 65.5 ± 31 years, the majority being female (55.3%) and white (63.1%). The overall in-hospital mortality during the study period was 3.6%. A reverse J-shaped relationship between the body mass index and in-hospital mortality was documented, while patients with elevated BMI showed significantly lower in-hospital mortality compared to the underweight and normal weight study participants, 2.8% vs. 7.4%, respectively, p < 0.001. Age and several comorbidities, as well as the Deyo Comorbidity Index, were found to predict mortality in a multivariable analysis. Conclusion: A reverse J-shaped relationship between body mass index and in-hospital mortality was documented in patients admitted for a stroke in the U.S. during the study period. The above findings support the existence of an “obesity paradox” in patients hospitalized following a stroke, similar to that described in other cardiovascular conditions.

Indexed as

BMIbody mass indexobesity paradoxsudden cardiac death

Identifiers

PMID35330003
PMCPMC8950130
OpenAlexW4221080468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.