Evidence map›Paper›PMID 28121951›Full record

ArticleMedicine2017

Diagnostic discrepancies in clinical practice: An autopsy study in patients with heart failure.

Victor Sarli Issa, Layara Fernanda Lipari Dinardi, Thiago Vicente Pereira, Lyna Kyria Rodrigues de Almeida, Thaisa Silveira Barbosa, Luiz Alberto Benvenutti, Silvia Moreira Ayub-Ferreira, Edimar Alcides Bocchi

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

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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

8 authors at 1 institution in 2 countries.

Victor Sarli IssaHeart Institute (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo (SP), Brazil.
Layara Fernanda Lipari Dinardi
Thiago Vicente Pereira
Lyna Kyria Rodrigues de Almeida
Thaisa Silveira Barbosa
Luiz Alberto Benvenutti
Silvia Moreira Ayub-Ferreira
Edimar Alcides Bocchi
Heart Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autopsies are the gold standard for diagnostic accuracy; however, no recent study has analyzed autopsies in heart failure (HF).We reviewed 1241 autopsies (January 2000-May 2005) and selected 232 patients with HF. Clinical and autopsy diagnoses were analyzed and discrepancies categorized according to their importance regarding therapy and prognosis.Mean age was 63.3 ± 15.9 years; 154 (66.4%) patients were male. The causes of death at autopsy were end-stage HF (40.9%), acute myocardial infarction (17.2%), infection (15.9), and pulmonary embolism 36 (15.5). Diagnostic discrepancies occurred in 191 (82.3%) cases; in 56 (24.1%), discrepancies were related to major diagnoses with potential influence on survival or treatment; pulmonary embolism was the cause of death for 24 (42.9%) of these patients. In 35 (15.1%), discrepancies were related to a major diagnosis with equivocal influence on survival or treatment; in 100 (43.1%), discrepancies did not influence survival or treatment. In multivariate analysis, age (OR: 1.03, 95% CI: 1.008-1.052, P = 0.007) and presence of diabetes mellitus (OR: 0.359, 95% CI: 0.168-0.767, P = 0.008) influenced the occurrence discrepancies.Diagnostic discrepancies with a potential impact on prognosis are frequent in HF. These findings warrant reconsideration in diagnostic and therapeutic practices with HF patients.

Indexed as

AgedAutopsyDeath, Sudden, CardiacDiagnostic ErrorsFemaleHeart FailureHumansMaleMiddle AgedRetrospective StudiesVentricular Function, Left

Identifiers

PMID28121951
PMCPMC5287975
OpenAlexW2582827706

What OpenQuestion holds

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LicenceCC BY
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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.