Evidence map›Paper›PMID 32055635›Full record

ArticleERJ open research2020

Routine neck ultrasound by respiratory physicians in the diagnosis and staging of patients with lung cancer and mediastinal lymphadenopathy: a prospective pilot study.

Mohammed Ahmed, Cyrus Daneshvar, David Breen

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 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
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 11 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

3 authors at 3 institutions in 2 countries.

Mohammed AhmedInterventional Respiratory Unit, Galway University Hospital, Galway, Ireland.ORCID https://orcid.org/0000-0002-9921-2286
Cyrus DaneshvarDept of Thoracic Medicine, University Hospitals Plymouth NHS Trust, Plymouth, UK.
David BreenInterventional Respiratory Unit, Galway University Hospital, Galway, Ireland.
University Hospital Galway · IEUniversity Hospitals Plymouth NHS Trust · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCervical lymphadenopathy in lung cancer indicates advanced disease. The presence of mediastinal lymphadenopathy is commonly associated with involvement of neck lymph nodes and some studies suggest routine neck ultrasound (NUS) in this group of patients. We conducted a two-phase study looking at training a respiratory physician to perform ultrasound-guided neck lymph node aspiration in patients with suspected lung cancer.

methodsIn the first phase of the study, one of the authors underwent training in NUS according to predetermined criteria. The adequacy of sampling was prospectively recorded. In the second phase, consecutive patients with suspected lung cancer and mediastinal lymphadenopathy underwent NUS and sampling of abnormal lymph nodes. The outcomes were the adequacy of samples for pathological analysis and molecular analysis, prevalence of cervical lymphadenopathy, and change in stage.

resultsFollowing the period of training, 35 patients underwent neck node sampling with an overall adequacy of 88.6% (95% CI 78.1-99.1%). Cervical lymph node involvement was confirmed in 13 out of 30 patients with lung cancer (43.3%, 95% CI 25.5-62.6%). Further immunohistochemistry and molecular studies were possible in all patients when it was required (nine cases). NUS led to nodal upstaging in four out of 30 (13.3%) cases.

conclusionTraining a respiratory physician to perform NUS and needle sampling to an acceptable level is feasible. Benefits of embedding this procedure in lung cancer diagnosis and pathway staging need to be explored in further studies.

Identifiers

PMID32055635
PMCPMC7008141
OpenAlexW3005073778

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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.