Evidence map›Paper›PMID 32807538›Full record

Observational studyAnnals of emergency medicine2020

Diagnostic Reclassification by a High-Sensitivity Cardiac Troponin Assay.

Bryn E Mumma, Scott D Casey, Robert K Dang, Michelle K Polen, Jasmanpreet C Kaur, John Rodrigo, Daniel J Tancredi, Robert A Narverud, Ezra A Amsterdam, Nam Tran

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Annals of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Guidelines for reasonable and appropriate care in the emergency department (GRACE): Recurrent, low-risk chest pain in the emergency department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021
    Article
  6. 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

10 authors at 1 institution in 1 country.

Bryn E MummaDepartment of Emergency Medicine, University of California, Davis, Sacramento, CA. Electronic address: bemumma@ucdavis.edu.
Scott D CaseyDepartment of Emergency Medicine, University of California, Davis, Sacramento, CA.
Robert K DangDepartment of Emergency Medicine, University of California, Davis, Sacramento, CA.
Michelle K PolenDepartment of Emergency Medicine, University of California, Davis, Sacramento, CA.
Jasmanpreet C KaurDepartment of Emergency Medicine, University of California, Davis, Sacramento, CA.
John RodrigoDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, CA.
Daniel J TancrediDepartment of Pediatrics, University of California, Davis, Sacramento CA.
Robert A NarverudDepartment of Emergency Medicine, University of California, Davis, Sacramento, CA.
Ezra A AmsterdamDivision of Cardiovascular Medicine, Department of Internal Medicine, University of California, Davis, Sacramento CA.
Nam TranDepartment of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, CA.
University of California, Davis · US

Funding

Understanding the factors affecting hospital performance in out-of-hospital cardiac arrest: A mixed-methods studyK08HL130546 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MUMMA, BRYN ELISSA · 2016 to 2018
$471k
NHLBI NIH HHS K08 HL130546
6 · The paper itself

Abstract

STUDY

objectiveOur objective is to describe the rates of diagnostic reclassification between conventional cardiac troponin I (cTnI) and high-sensitivity cardiac troponin T (hs-cTnT) and between combined and sex-specific hs-cTnT thresholds in adult emergency department (ED) patients in the United States.

methodsWe conducted a prospective, single-center, before-and-after, observational study of ED patients aged 18 years or older undergoing single or serial cardiac troponin testing in the ED for any reason before and after hs-cTnT implementation. Conventional cTnI and hs-cTnT results were obtained from a laboratory quality assurance database. Combined and sex-specific thresholds were the published 99th percentile upper reference limits for each assay. Cases underwent physician adjudication using the Fourth Universal Definition of Myocardial Infarction. Diagnostic reclassification occurred when a patient received a diagnosis of myocardial infarction or myocardial injury with one assay but not the other assay. Our primary outcome was diagnostic reclassification between the conventional cTnI and hs-cTnT assays. Diagnostic reclassification probabilities were assessed with sample proportions and 95% confidence intervals for binomial data.

resultsWe studied 1,016 patients (506 men [50%]; median age 60 years [25th, 75th percentiles 49, 71]). Between the conventional cTnI and hs-cTnT assays, 6 patients (0.6%; 95% confidence interval 0.2% to 1.3%) underwent diagnostic reclassification regarding myocardial infarction (5/6 reclassified as no myocardial infarction) and 166 patients (16%; 95% confidence interval 14% to 19%) underwent diagnostic reclassification regarding myocardial injury (154/166 reclassified as having myocardial injury) by hs-cTnT.

conclusionCompared with conventional cTnI, the hs-cTnT assay resulted in no clinically relevant change in myocardial infarction diagnoses but substantially more myocardial injury diagnoses.

Indexed as

AdultAgedConfidence IntervalsDiagnostic ErrorsFemaleHumansMaleMiddle AgedMyocardial InfarctionProspective StudiesSensitivity and SpecificityTroponin ITroponin TTroponin ITroponin T

Identifiers

PMID32807538
PMCPMC7606506
OpenAlexW3049297000

What OpenQuestion holds

Textmetadata
LicenceTDM
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.