ArticleJournal of thoracic disease2019
Nomogram to predict postoperative PR in patients undergoing CT-guided transthoracic lung biopsy.
Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Analysis of pleural reaction following CT-guided hookwire localization for pulmonary nodules.Quantitative imaging in medicine and surgery · 2026Article
- Risk Factors for Pleural Reaction in CT-Guided Percutaneous Lung Nodule Localization: A Single-Center Retrospective Study.Therapeutics and clinical risk management · 2025Article
- Chinese expert consensus on cone-beam CT-guided diagnosis, localization and treatment for pulmonary nodules.Thoracic cancer · 2024Article
- Development and validation of a web-based prediction tool on minor physical anomalies for schizophrenia.Schizophrenia (Heidelberg, Germany) · 2022Article
- Article
- Development of a hemoptysis risk prediction model for patients following CT-guided transthoracic lung biopsy.BMC pulmonary medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPleural reaction (PR) frequently occurs following computed tomography-guided transthoracic needle biopsy (CT-TNB). The purpose of this study was to establish a predictive model for PR following CT-TNB.
methodsIn this study, a total of 436 patients who underwent CT-TNB between June 2016 and December 2017 at a tertiary hospital were consecutively included. Patient demographics, lesion features, laboratory tests, and biopsy parameters were collected. The least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression analyses were performed to establish a prediction model for post-CT-TNB PR, presented by a nomogram. Discrimination and calibration were assessed. For internal validation, a bootstrap resampling method was applied, and decision curve analysis (DCA) was used to evaluate its clinical utility.
resultsPR occurred in 7.8% (34/436) of patients. Four non-zero coefficient variables (gender, age, lesion location, and puncture position) were filtered by LASSO regression analysis and were used to establish a predictive model. The area under the curve in the derivation and validation was 0.840 (95% CI, 0.767-0.913) and 0.841 (95% CI, 0.769-0.912), respectively. The model was well-calibrated (P>0.05), and DCA indicated clinical efficacy.
conclusionsIn this study, we established a nomogram, including as parameters gender, age, lesion location, and puncture position, which may have great significance for individualized prediction of post-CT-TNB PR.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.