Evidence map›Paper›PMID 32878970›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2020

Primary lung neoplasms presenting as multiple synchronous lung nodules.

Subha Ghosh, Atul C Mehta, Sami Abuquyyas, Shine Raju, Carol Farver

Open access · diamondAbstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  3. Observational
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  5. Article
  6. Clinical impact ofTranslational lung cancer research · 2024
    Article
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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

5 authors at 2 institutions in 1 country.

Subha GhoshImaging Institute, Cleveland Clinic, Cleveland, OH, USA.
Atul C MehtaRespiratory Institute, Cleveland Clinic, Cleveland, OH, USA mehtaa1@ccf.org.
Sami AbuquyyasRespiratory Institute, Cleveland Clinic, Cleveland, OH, USA.
Shine RajuPulmonary, Critical Care and Sleep Medicine, University Hospital Cleveland Medical Center, Cleveland, OH, USA.
Carol FarverDept of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Cleveland Clinic · USUniversity Hospitals of Cleveland · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple synchronous lung nodules are frequently encountered on computed tomography (CT) scanning of the chest and are most commonly either non-neoplastic or metastases from a known primary malignancy. The finding may initiate a search for primary malignancy elsewhere in the body. An exception to this rule, however, is a class of rare primary lung neoplasms that originate from epithelial (pneumocytes and neuroendocrine), mesenchymal (vascular and meningothelial) and lymphoid tissues of the lung. While these rare neoplasms also present as multiple synchronous unilateral or bilateral lung nodules on chest CT, they are often overlooked in favour of more common causes of multiple lung nodules. The correct diagnosis may be suggested by a multidisciplinary team and established on biopsy, performed either as part of routine diagnostic work-up or staging for malignancy. In this review, we discuss clinical presentations, imaging features, pathology findings and subsequent management of these rare primary neoplasms of the lung.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesBiopsyHumansLungTomography, X-Ray Computed

Identifiers

PMID32878970
PMCPMC9648507
OpenAlexW3081980289

What OpenQuestion holds

Textmetadata
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.