Evidence map›Paper›PMID 35160073›Full record

ArticleJournal of clinical medicine2022

Obesity, Inflammation, and Mortality in COVID-19: An Observational Study from the Public Health Care System of New York City.

Leonidas Palaiodimos, Ryad Ali, Hugo O Teo, Sahana Parthasarathy, Dimitrios Karamanis, Natalia Chamorro-Pareja, Damianos G Kokkinidis, Sharanjit Kaur, Michail Kladas, Jeremy Sperling and 7 more

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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Review
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

17 authors at 2 institutions in 1 country.

Leonidas PalaiodimosNYC Health + Hospitals, New York, NY 10461, USA.ORCID 0000-0003-4682-5991
Ryad AliDepartment of Health Informatics, Rutgers School of Health Professions, Newark, NJ 07107, USA.
Hugo O TeoNYC Health + Hospitals, New York, NY 10461, USA.
Sahana ParthasarathyNYC Health + Hospitals, New York, NY 10461, USA.
Dimitrios KaramanisDepartment of Health Informatics, Rutgers School of Health Professions, Newark, NJ 07107, USA.ORCID 0000-0003-2003-7356
Natalia Chamorro-ParejaNYC Health + Hospitals, New York, NY 10461, USA.
Damianos G KokkinidisNYC Health + Hospitals, New York, NY 10461, USA.
Sharanjit KaurNYC Health + Hospitals, New York, NY 10461, USA.
Michail KladasNYC Health + Hospitals, New York, NY 10461, USA.
Jeremy SperlingNYC Health + Hospitals, New York, NY 10461, USA.ORCID 0000-0002-6932-8536
Michael ChangNYC Health + Hospitals, New York, NY 10461, USA.
Kenneth HupartNYC Health + Hospitals, New York, NY 10461, USA.
Colin Cha-FongNYC Health + Hospitals, New York, NY 10461, USA.
Shankar SrinivasanDepartment of Health Informatics, Rutgers School of Health Professions, Newark, NJ 07107, USA.
Preeti KishoreNYC Health + Hospitals, New York, NY 10461, USA.ORCID 0000-0002-0146-1007
Nichola DavisNYC Health + Hospitals, New York, NY 10461, USA.
Robert T FaillaceNYC Health + Hospitals, New York, NY 10461, USA.
New York City Health and Hospitals Corporation · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe obesity increases the risk for negative outcomes in patients with coronavirus disease 2019 (COVID-19). Our objectives were to investigate the effect of BMI on in-hospital outcomes in our New York City Health and Hospitals' ethnically diverse population, further explore this effect by age, sex, race/ethnicity, and timing of admission, and, given the relationship between COVID-19 and hyperinflammation, assess the concentrations of markers of systemic inflammation in different BMI groups. A retrospective study was conducted in hospitalized patients with COVID-19 in the public health care system of New York City from 1 March 2020 to 31 October 2020. A total of 8833 patients were included in this analysis (women: 3593, median age: 62 years). The median body mass index (BMI) was 27.9 kg/m

Indexed as

BMIbody mass indexCOVID-19mortalityNew Yorkobesityobservationalpredictorretrospectiverisk factor

Identifiers

PMID35160073
PMCPMC8836690
OpenAlexW4210303694

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.