Evidence map›Paper›PMID 32175157›Full record

ArticleTurk gogus kalp damar cerrahisi dergisi2020

The role of endobronchial ultrasonography elastography for predicting malignancy.

Benan Çağlayan, Sinem İliaz, Pınar Bulutay, Ayşe Armutlu, Işıl Uzel, Ayşe Bilge Öztürk

Abstract read
In one paragraph

Article in Turk gogus kalp damar cerrahisi dergisi, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

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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

5 citing papers in PubMed, 10 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

6 authors at 1 institution in 1 country.

Benan ÇağlayanDepartment of Chest Diseases, Koç University School of Medicine, Istanbul, Turkey.
Sinem İliazDepartment of Chest Diseases, Koç University School of Medicine, Istanbul, Turkey.
Pınar BulutayDepartment of Pathology, Koç University School of Medicine, Istanbul, Turkey.
Ayşe ArmutluDepartment of Pathology, Koç University School of Medicine, Istanbul, Turkey.
Işıl UzelDepartment of Chest Diseases, Koç University School of Medicine, Istanbul, Turkey.
Ayşe Bilge ÖztürkDepartment of Chest Diseases, Koç University School of Medicine, Istanbul, Turkey.
Koç University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to investigate the role of endobronchial ultrasonography elastography in predicting malignancy.

methodsBetween January 2016 and December 2016, a total of 221 lymph nodes were biopsied using the endobronchial ultrasonography-guided transbronchial needle aspiration from 119 consecutive patients (69 males, 50 females; mean age 63.2±12.4 years; range, 16 to 86 years) were included. Lymph nodes were scored by elastography according to their colors in four categories before the procedure. The strain ratio was calculated based on the region of interest after three measurements.

resultsOf the patients, 93 were diagnosed with a malignancy through endobronchial ultrasonography-guided transbronchial needle aspiration biopsy. The mean lymph node score of benign versus malignant lesions was 2.2±1.0 and 3.2±1, respectively (p<0.001). There was a positive correlation between the lymph node scores and lymph node diameter, strain ratio, ≥3 of lymph node scoring, the sensitivity for malignancy was 79% and specificity was 60%. The mean strain ratio for malignant and benign lymph nodes was 22.2±30.1 and 5.2±1.7, respectively (p<0.001). With a cut-off value of ≥2.47 of strain ratio, the sensitivity for malignancy was 75% and specificity was 65%. The combined use of positron emission tomography and lymph node score or strain ratio yielded 80.4% and 61.2% sensitivity and 80% and 70.3% specificity for malignancy, respectively.

conclusionEndobronchial ultrasonography elastography is useful in predicting malignancy of the lymph nodes. When combined with positron emission tomography, specificity and positive predictive value for malignancy increase.

Indexed as

Bronchoscopyendobronchial ultrasonographylung cancerlymphadenopathytransbronchial needle aspiration biopsy

Identifiers

PMID32175157
PMCPMC7067017
OpenAlexW3013812922

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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.