Evidence map›Paper›PMID 38851671›Full record

ArticleBMC infectious diseases2024

Peripheral blood eosinophils: an important reference for radiologists to distinguish between pulmonary paragonimiasis and tuberculous pleurisy in children.

Kai-Yi Zhang, Yan Bi, Xu-Wen Fu, Min Qi, Jia-Lu Wei, Wei Gan, Le Zhang, Xiang Li

Abstract read
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Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Kai-Yi Zhang *Department of Tuberculosis, Kunming Third People's Hospital/Yunnan Clinical Medical Center for Infectious Diseases, Kunming, 650041, China.
Yan Bi *Department of Radiology, The People's Hospital of Lincang, Lincang, Yunnan, 677000, China.
Xu-Wen FuDepartment of Radiology, Kunming Third People's Hospital/Yunnan Clinical Medical Center for Infectious Diseases, No. 319 of Wujing Street, Guandu District, Kunming, 650041, China.
Min QiDepartment of Radiology, Kunming Third People's Hospital/Yunnan Clinical Medical Center for Infectious Diseases, No. 319 of Wujing Street, Guandu District, Kunming, 650041, China.
Jia-Lu WeiDepartment of Radiology, Kunming Third People's Hospital/Yunnan Clinical Medical Center for Infectious Diseases, No. 319 of Wujing Street, Guandu District, Kunming, 650041, China.
Wei GanDepartment of Radiology, Kunming Third People's Hospital/Yunnan Clinical Medical Center for Infectious Diseases, No. 319 of Wujing Street, Guandu District, Kunming, 650041, China.
Le ZhangDepartment of ICU, Kunming Third People's Hospital/Yunnan Clinical Medical Center for Infectious Diseases, Kunming, 650041, China. lezhangl5@126.com.
Xiang LiDepartment of Radiology, Kunming Third People's Hospital/Yunnan Clinical Medical Center for Infectious Diseases, No. 319 of Wujing Street, Guandu District, Kunming, 650041, China. lixianglxlxiang@126.com.

Funding

Health Research Project of Kunming National Health Commission 2022-09-01-001
6 · The paper itself

Abstract

objectiveIn this study, we examined the value of chest CT signs combined with peripheral blood eosinophil percentage in differentiating between pulmonary paragonimiasis and tuberculous pleurisy in children.

methodsPatients with pulmonary paragonimiasis and tuberculous pleurisy were retrospectively enrolled from January 2019 to April 2023 at the Kunming Third People's Hospital and Lincang People's Hospital. There were 69 patients with pulmonary paragonimiasis (paragonimiasis group) and 89 patients with tuberculous pleurisy (tuberculosis group). Clinical symptoms, chest CT imaging findings, and laboratory test results were analyzed. Using binary logistic regression, an imaging model of CT signs and a combined model of CT signs and eosinophils were developed to calculate and compare the differential diagnostic performance of the two models.

resultsCT signs were used to establish the imaging model, and the receiver operating characteristic (ROC) curve was plotted. The area under the curve (AUC) was 0.856 (95% CI: 0.799-0.913), the sensitivity was 66.7%, and the specificity was 88.9%. The combined model was established using the CT signs and eosinophil percentage, and the ROC was plotted. The AUC curve was 0.950 (95% CI: 0.919-0.980), the sensitivity was 89.9%, and the specificity was 90.1%. The differential diagnostic efficiency of the combined model was higher than that of the imaging model, and the difference in AUC was statistically significant.

conclusionThe combined model has a higher differential diagnosis efficiency than the imaging model in the differentiation of pulmonary paragonimiasis and tuberculous pleurisy in children. The presence of a tunnel sign on chest CT, the absence of pulmonary nodules, and an elevated percentage of peripheral blood eosinophils are indicative of pulmonary paragonimiasis in children.

Indexed as

EosinophilsParagonimiasisTomography, X-Ray ComputedTuberculosis, PleuralAdolescentChildChild, PreschoolDiagnosis, DifferentialFemaleHumansMaleRetrospective StudiesROC CurveSensitivity and SpecificityDiagnosisIdentificationParagonimiasisPleuraTomographyTuberculosisX-ray computer

Identifiers

PMID38851671
PMCPMC11162568

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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.