Evidence map›Paper›PMID 36060660›Full record

ArticleComputational and mathematical methods in medicine2022

Efficacy and Safety Analysis of Multislice Spiral CT-Guided Transthoracic Lung Biopsy in the Diagnosis of Pulmonary Nodules of Different Sizes.

Huitong Liu, Xiao Yao, Bingqiang Xu, Wei Zhang, Yu Lei, Xiaolong Chen

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 9 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.

Huitong LiuShaanxi Provincial People's Hospital, Xi'an, Shaanxi Province 710068, China.ORCID https://orcid.org/0000-0003-4585-7932
Xiao YaoShaanxi Provincial People's Hospital, Xi'an, Shaanxi Province 710068, China.
Bingqiang XuShaanxi Provincial People's Hospital, Xi'an, Shaanxi Province 710068, China.
Wei ZhangShaanxi Provincial People's Hospital, Xi'an, Shaanxi Province 710068, China.
Yu LeiShaanxi Provincial People's Hospital, Xi'an, Shaanxi Province 710068, China.
Xiaolong ChenShaanxi Provincial People's Hospital, Xi'an, Shaanxi Province 710068, China.ORCID https://orcid.org/0000-0002-3885-0292
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study is aimed at investigating the efficacy and safety of multislice spiral CT-guided transthoracic lung biopsy in the diagnosis of pulmonary nodules of different sizes. Methods: Data of 78 patients with pulmonary nodules who underwent CT-guided transthoracic lung biopsy in our hospital from January 2020 to December 2021 were retrospectively analyzed, and they were divided into the small nodules group ( Results: The diagnostic accuracy, sensitivity, and specificity were 83.33%, 100.00%, and 77.78% in small nodules group. The diagnostic accuracy, sensitivity, and specificity of medium nodules group were 85.71%, 100.00%, and 73.68%, respectively. The diagnostic accuracy, sensitivity, and specificity of large nodules group were 93.55%, 100.00%, and 33.33%, respectively. There was no significant difference in the incidence of pneumothorax among the three groups ( Conclusion: Multislice spiral CT-guided transthoracic lung biopsy is effective in diagnosing pulmonary nodules of different sizes.

Indexed as

Multiple Pulmonary NodulesPneumothoraxSolitary Pulmonary NoduleBiopsy, NeedleHemorrhageHumansLungRetrospective StudiesTomography, Spiral Computed

Identifiers

PMID36060660
PMCPMC9436531
OpenAlexW4293072642

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.