Evidence map›Paper›PMID 34950585›Full record

ArticleFrontiers in oncology2021

Development and Validation of a Scoring System for Early Diagnosis of Malignant Pleural Effusion Based on a Nomogram.

Aihua Wu, Zhigang Liang, Songbo Yuan, Shanshan Wang, Weidong Peng, Yijun Mo, Jing Yang, Yanqing Liu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
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8citing papers in PubMed
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1 · What the graph read from it

What it found

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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

8 citing papers in PubMed.

  1. Article
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  4. Review
  5. Personalized statistical medicine.The Indian journal of medical research · 2023
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Aihua WuDepartment of Laboratory Medicine, Ningbo First Hospital, Ningbo, China.
Zhigang LiangDepartment of Thoracic Surgery, Ningbo First Hospital, Ningbo, China.
Songbo YuanDepartment of Clinical Laboratory, The Affiliated People Hospital of Ningbo University, Ningbo, China.
Shanshan WangDepartment of Laboratory Medicine, Ningbo First Hospital, Ningbo, China.
Weidong PengDepartment of Respiratory and Critical Care Medicine, The Affiliated People Hospital of Ningbo University, Ningbo, China.
Yijun MoDepartment of Laboratory Medicine, Ningbo First Hospital, Ningbo, China.
Jing YangDepartment of Respiratory and Critical Care Medicine, Ningbo First Hospital, Ningbo, China.
Yanqing LiuDepartment of Laboratory Medicine, Ningbo First Hospital, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnostic value of clinical and laboratory features to differentiate between malignant pleural effusion (MPE) and benign pleural effusion (BPE) has not yet been established.

objectivesThe present study aimed to develop and validate the diagnostic accuracy of a scoring system based on a nomogram to distinguish MPE from BPE.

methodsA total of 1,239 eligible patients with PE were recruited in this study and randomly divided into a training set and an internal validation set at a ratio of 7:3. Logistic regression analysis was performed in the training set, and a nomogram was developed using selected predictors. The diagnostic accuracy of an innovative scoring system based on the nomogram was established and validated in the training, internal validation, and external validation sets (

resultsSeven variables [effusion carcinoembryonic antigen (CEA), effusion adenosine deaminase (ADA), erythrocyte sedimentation rate (ESR), PE/serum CEA ratio (CEA ratio), effusion carbohydrate antigen 19-9 (CA19-9), effusion cytokeratin 19 fragment (CYFRA 21-1), and serum lactate dehydrogenase (LDH)/effusion ADA ratio (cancer ratio, CR)] were validated and used to develop a nomogram. The prediction model showed both good discrimination and calibration capabilities for all sets. A scoring system was established based on the nomogram scores to distinguish MPE from BPE. The scoring system showed favorable diagnostic performance in the training set [area under the curve (AUC) = 0.955, 95% confidence interval (CI) = 0.942-0.968], the internal validation set (AUC = 0.952, 95% CI = 0.932-0.973), and the external validation set (AUC = 0.973, 95% CI = 0.956-0.990). In addition, the scoring system achieved satisfactory discriminative abilities at separating lung cancer-associated MPE from tuberculous pleurisy effusion (TPE) in the combined training and validation sets.

conclusionsThe present study developed and validated a scoring system based on seven parameters. The scoring system exhibited a reliable diagnostic performance in distinguishing MPE from BPE and might guide clinical decision-making.

Indexed as

malignant pleural effusionnomogramprediction modelscoring systemtuberculous pleurisy effusion

Identifiers

PMID34950585
PMCPMC8688822

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