Evidence map›Paper›PMID 34993112›Full record

ArticleQuantitative imaging in medicine and surgery2022

Benign and malignant pulmonary part-solid nodules: differentiation via thin-section computed tomography.

Wang-Jia Li, Fa-Jin Lv, Yi-Wen Tan, Bin-Jie Fu, Zhi-Gang Chu

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 27 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

5 authors at 2 institutions in 1 country.

Wang-Jia Li *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fa-Jin Lv *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yi-Wen TanDepartment of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Bin-Jie FuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhi-Gang ChuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
First Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary part-solid nodules (PSNs) reportedly have a high possibility of malignancy, while benign PSNs are common. This study aimed to reveal the differences between benign and malignant PSNs by comparing their thin-section computed tomography (CT) features.

methodsPatients with PSNs confirmed by postoperative pathological examination or follow-up (at the same period) were retrospectively enrolled from March 2016 to January 2020. The clinical data of patients and CT features of benign and malignant PSNs were reviewed and compared. Binary logistic regression analysis was performed to reveal the predictors of malignant PSNs.

resultsA total of 119 PSNs in 117 patients [age (mean ± standard deviation), 56±11 years; 70 women] were evaluated. Of the 119 PSNs, 44 (37.0%) were benign, and 75 (63.0%) were malignant (12 adenocarcinomas

conclusionsWell-defined and lobulated PSNs with irregular and scattered solid components are highly likely to be malignant.

Indexed as

benignitycomputed tomography (CT)malignancyPart-solid nodules (PSNs)solid component

Identifiers

PMID34993112
PMCPMC8666726
OpenAlexW3124550482

What OpenQuestion holds

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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.