Evidence map›Paper›PMID 38229113›Full record

ArticleJournal of translational medicine2024

Comparison of lung cancer occurring in fibrotic versus non-fibrotic lung on chest CT.

Mary M Salvatore, Yucheng Liu, Boyu Peng, Hao Yun Hsu, Anjali Saqi, Wei-Yann Tsai, Cheng-Shiun Leu, Sachin Jambawalikar

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Fibrosis and cancer intersection.Journal of translational medicine · 2025
    Article
  9. Article
  10. 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

8 authors at 2 institutions in 1 country.

Mary M SalvatoreDepartment of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY, 10032, USA. ms5680@cumc.columbia.edu.
Yucheng LiuDepartment of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY, 10032, USA.
Boyu PengDepartment of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY, 10032, USA.
Hao Yun HsuDepartment of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY, 10032, USA.
Anjali SaqiDepartment of Pathology, Columbia University Irving Medical Center, New York, NY, USA.
Wei-Yann TsaiDepartment of Biostatistics, Columbia University, New York, NY, USA.
Cheng-Shiun LeuDepartment of Biostatistics, Columbia University, New York, NY, USA.
Sachin JambawalikarDepartment of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, NY, 10032, USA.
Columbia University Irving Medical Center · USColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEvaluate the behavior of lung nodules occurring in areas of pulmonary fibrosis and compare them to pulmonary nodules occurring in the non-fibrotic lung parenchyma.

methodsThis retrospective review of chest CT scans and electronic medical records received expedited IRB approval and a waiver of informed consent. 4500 consecutive patients with a chest CT scan report containing the word fibrosis or a specific type of fibrosis were identified using the system M*Model Catalyst (Maplewood, Minnesota, U.S.). The largest nodule was measured in the longest dimension and re-evaluated, in the same way, on the follow-up exam if multiple time points were available. The nodule doubling time was calculated. If the patient developed cancer, the histologic diagnosis was documented.

resultsSix hundred and nine patients were found to have at least one pulmonary nodule on either the first or the second CT scan. 274 of the largest pulmonary nodules were in the fibrotic tissue and 335 were in the non-fibrotic lung parenchyma. Pathology proven cancer was more common in nodules occurring in areas of pulmonary fibrosis compared to nodules occurring in areas of non-fibrotic lung (34% vs 15%, p < 0.01). Adenocarcinoma was the most common cell type in both groups but more frequent in cancers occurring in non-fibrotic tissue. In the non-fibrotic lung, 1 of 126 (0.8%) of nodules measuring 1 to 6 mm were cancer. In contrast, 5 of 49 (10.2%) of nodules in fibrosis measuring 1 to 6 mm represented biopsy-proven cancer (p < 0.01). The doubling time for squamous cell cancer was shorter in the fibrotic lung compared to non-fibrotic lung, however, the difference was not statistically significant (p = 0.24). 15 incident lung nodules on second CT obtained ≤ 18 months after first CT scan was found in fibrotic lung and eight (53%) were diagnosed as cancer.

conclusionsNodules occurring in fibrotic lung tissue are more likely to be cancer than nodules in the nonfibrotic lung. Incident pulmonary nodules in pulmonary fibrosis have a high likelihood of being cancer.

Indexed as

Lung NeoplasmsMultiple Pulmonary NodulesPulmonary FibrosisHumansLungTomography, X-Ray ComputedDoubling timeLung cancerLung cancer screeningPulmonary fibrosisPulmonary nodules

Identifiers

PMID38229113
PMCPMC10792886
OpenAlexW4390901348

What OpenQuestion holds

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LicenceCC BY
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.