Evidence map›Paper›PMID 36760262›Full record

ArticleAnnals of translational medicine2023

Association between cardiac troponin testing at scheduled admission and mortality in patients with comorbidities.

Ah Ran Oh, Seung-Hwa Lee, Jungchan Park, Dan-Cheong Choi, Kwangmo Yang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Ah Ran Oh *Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seung-Hwa Lee *Rehabilitation & Prevention Center, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jungchan ParkDepartment of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Dan-Cheong ChoiDepartment of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kwangmo YangDepartment of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
Samsung Medical Center · KRKangwon National University Hospital · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiac troponin I (cTnI) is a gold-standard biomarker for detecting myocardial infarction. Recently, the prognostic role of cTnI was reported for stable coronary artery disease and other chronic diseases. This study aimed to evaluate the usefulness of cTnI testing at scheduled admission of patients with comorbidities. Methods: We retrospectively enrolled patients with comorbidities who were admitted through the outpatient clinic from April 2010 to December 2018. The enrolled patients were divided into two groups depending on whether cTnI was measured at admission. The primary endpoint was the mortality rate at one year after admission. Secondary endpoints included 30-day and in-hospital mortality rates. Results: A population of 50,119 patients was divided into two groups, with 43,974 (87.8%) patients included in the no cTnI group and 6,145 (12.2%) patients included in the cTnI group. The multivariable analysis showed a reduction of mortality at one year in the cTnI group [5.9% Conclusions: The measurement of cTnI at scheduled admission may affect the mortality during one year of follow-up. Further studies are needed to validate our results.

Indexed as

Acute coronary syndromemortalitytroponin

Identifiers

PMID36760262
PMCPMC9906211
OpenAlexW4313823257

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.