Evidence map›Paper›PMID 33145511›Full record

ArticleJournal of the American College of Emergency Physicians open2020

Lack of benefit from hospitalization in patients with syncope: A propensity analysis.

Padma Kaul, Dat T Tran, Roopinder K Sandhu, Monica Solbiati, Giorgio Costantino, Robert S Sheldon

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Lack of benefit from hospitalization in patients with syncope: A propensity analysis.Journal of the American College of Emergency Physicians open · 2020
    Article
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

6 authors.

Padma KaulDepartment of Medicine University of Alberta Edmonton Canada.
Dat T TranDepartment of Medicine University of Alberta Edmonton Canada.
Roopinder K SandhuDepartment of Medicine University of Alberta Edmonton Canada.
Monica SolbiatiIRCCS Fondazione Ca' Granda University of Milan Milan Italy.
Giorgio CostantinoIRCCS Fondazione Ca' Granda University of Milan Milan Italy.
Robert S SheldonDepartment of Cardiac Sciences University of Calgary Calgary Canada.ORCID https://orcid.org/0000-0002-3463-4082

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivePatients with syncope are frequently admitted to the hospital, but whether this improves outcome is unknown. We tested whether hospitalization reduced mortality in patients who presented to emergency departments (EDs) with syncope.

methodsWe conducted a propensity analysis of the outcomes of patients ≥18 years old presenting to EDs with a primary diagnosis of syncope in April 2004-March 2013. The model used 1:1 nearest-neighbor matching to predicted admission using age, sex, urban residence, household income, and 14 significant comorbidities from 4 administrative databases of the province of Alberta. The primary outcome was death.

resultsThere were 57,417 ED patients with a primary diagnosis of syncope; 8864 were admitted, and 48,553 were discharged in <24 hours. Admitted patients were older (median 76 vs 49 years), male (53% vs 45%), rural (23% vs 18%), and had lower income (median $58,599 vs $61,422); all

conclusionsHospital admission did not reduce early or late mortality in patients who presented to the ED with syncope. Mortality is associated with comorbidities.

Indexed as

emergency departmenthospitalizationmortalitypropensity analysissyncope

Identifiers

PMID33145511
PMCPMC7593467

What OpenQuestion holds

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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.