Evidence map›Paper›PMID 31948262›Full record

ArticleAmerican journal of respiratory and critical care medicine2020

Temporal Trends in Critical Care Outcomes in U.S. Minority-Serving Hospitals.

John Danziger, Miguel Ángel Armengol de la Hoz, Wenyuan Li, Matthieu Komorowski, Rodrigo Octávio Deliberato, Barret N M Rush, Kenneth J Mukamal, Leo Celi, Omar Badawi

Open access · greenAbstract readComparative Study
In one paragraph

Article in American journal of respiratory and critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 5 countries.

John DanzigerDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Miguel Ángel Armengol de la HozCardiovascular Research Center, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts.
Wenyuan LiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Matthieu KomorowskiDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, United Kingdom.
Rodrigo Octávio DeliberatoMIT Critical Data, Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Cambridge, Massachusetts.
Barret N M RushDepartment of Critical Care Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Kenneth J MukamalDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Leo CeliDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Omar BadawiPhilips Healthcare, Baltimore, Maryland; and.
Beth Israel Deaconess Medical Center · USHarvard University · USHospital Israelita Albert Einstein · BRUniversity of British Columbia · CAUniversity of Maryland, Baltimore · US

Funding

Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB017205
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AdultAgedAged, 80 and overBlack or African AmericanCritical CareCritical Care OutcomesFemaleHispanic or LatinoHospitalsHumansMaleMiddle AgedMinority GroupsUnited StatesWhite PeopleAfrican Americandisparityminoritymortality

Identifiers

PMID31948262
PMCPMC7263391
OpenAlexW2999117264

What OpenQuestion holds

Textmetadata
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.