Evidence map›Paper›PMID 36261243›Full record

ArticleBMJ open2022

Learning curves and association of pathologist's performance with the diagnostic accuracy of linear endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA): a cohort study in a tertiary care reference centre.

Javier Flandes, Luis Fernando Giraldo-Cadavid, Maria Teresa Perez-Warnisher, Andres Gimenez, Iker Fernandez-Navamuel, Javier Alfayate, Alba Naya, Pilar Carballosa, Elena Cabezas, Susana Alvarez and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  6. Observational
  7. 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

12 authors at 3 institutions in 3 countries.

Javier FlandesInterventional Pulmonology, Fundacion Jimenez Diaz-UTE, Madrid, Spain.
Luis Fernando Giraldo-CadavidSchool of Medicine, Research Department, Universidad de La Sabana, Chia, Colombia luisf.giraldo@unisabana.edu.co.ORCID 0000-0002-7574-7913
Maria Teresa Perez-WarnisherPulmonary Medicine Departament, Clínica Universidad de Navarra, Madrid, Spain.
Andres GimenezInterventional Pulmonology, Fundacion Jimenez Diaz, Madrid, Spain.
Iker Fernandez-NavamuelInterventional Pulmonology, Fundacion Jimenez Diaz, Madrid, Spain.
Javier AlfayateInterventional Pulmonology, Fundacion Jimenez Diaz, Madrid, Spain.
Alba NayaPulmonary Medicine Departament, Fundacion Jimenez Diaz, Madrid, Spain.
Pilar CarballosaPulmonary Medicine Departament, Fundacion Jimenez Diaz, Madrid, Spain.
Elena CabezasPulmonary Medicine Departament, Fundacion Jimenez Diaz, Madrid, Spain.
Susana AlvarezInterventional Pulmonology, Fundacion Jimenez Diaz, Madrid, Spain.
Ana Maria Uribe-HernandezEpidemiology and Biostatistics Departament, Universidad de La Sabana, Chia, Colombia.
Luis SeijoPulmonary Medicine, Clínica Universidad de Navarra, Madrid, Spain.
Hospital Universitario Fundación Jiménez Díaz · ESClinica Universidad de Navarra · ESUniversidad de La Sabana · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to assess the learning curves and the influence of the pathologist's performance on the endobronchial ultrasound transbronchial needle aspiration's (EBUS-TBNA's) diagnostic accuracy in a real-world study. DESIGN/

settingCohort study conducted in a tertiary care university hospital (single centre) with patients referred for EBUS-TBNA. PARTICIPANTS/

interventionWe initially evaluated 376 patients (673 lymph nodes), 368 (660 lymph nodes) of whom were recruited. The inclusion criterion was EBUS-TBNA indicated for the study of mediastinal or hilar lesions. The exclusion criteria were the absence of mediastinal and hilar lesions during EBUS confirmed by a normal mediastinum and hilum on chest CT (except in cases of mediastinal staging of cancer) and lost to follow-up. PRIMARY AND SECONDARY OUTCOME MEASURES: Diagnostic accuracy and related outcomes.

methodsWe included patients from a prospectively constructed database. We performed a logistic regression multivariate analysis to adjust for potential confounders of the association between pathologist performance and EBUS-TBNA accuracy. The Cumulative Summation (CUSUM) analysis was used to assess pathologists' performance and learning curves.

resultsMost indications for EBUS were suspicion of malignancy, including intrathoracic tumours (68.3%), extrathoracic tumours (9.8%) and cancer staging (7.0%). The patients' mean age was 63.7 years, and 71.5% were male. Overall EBUS-TBNA accuracy was 80.8%. In the multivariate logistic regression model, the factors independently associated with EBUS-TBNA accuracy included certain pathologists (ORs ranging from 0.16 to 0.41; p<0.017), a lymph node short-axis diameter <1 cm (OR: 0.36; 95% CI 0.21 to 0.62; p<0.001), and the aetiology of lymph node enlargement (ORs ranging from 7 to 37; p<0.001). CUSUM analysis revealed four different learning curve patterns, ranging from almost immediate learning to a prolonged learning phase, as well as a pattern consistent with performance attrition.

conclusionsPathologists' proficiency conditioned EBUS-TBNA accuracy. This human factor is a potential source of error independent of factors conditioning tissue sample adequacy.

Indexed as

Learning CurveNeoplasmsBronchoscopyCohort StudiesFemaleHumansMaleMiddle AgedPathologistsTertiary Health CareBronchoscopyEpidemiologyHistopathologyRespiratory tract tumoursUltrasound

Identifiers

PMID36261243
PMCPMC9582308
OpenAlexW4306812061

What OpenQuestion holds

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LicenceCC BY-NC
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.