Evidence map›Paper›PMID 24416055›Full record

ArticleTuberculosis and respiratory diseases2013

Pleural fluid pentraxin-3 for the differential diagnosis of pleural effusions.

Chang Dong Yeo, Jin Woo Kim, Mi Ran Cho, Ji Young Kang, Seung Joon Kim, Young Kyoon Kim, Sang Haak Lee, Chan Kwon Park, Sang Ho Kim, Mi Sun Park and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Tuberculosis and respiratory diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 38% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Review
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

12 authors at 6 institutions in 2 countries.

Chang Dong YeoDepartment of Internal Medicine, Uijeongbu St. Mary's Hospital, The Catholic University of Korea College of Medicine, Uijeongbu, Korea.
Jin Woo KimDepartment of Internal Medicine, Uijeongbu St. Mary's Hospital, The Catholic University of Korea College of Medicine, Uijeongbu, Korea.
Mi Ran ChoDepartment of Internal Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.
Ji Young KangDepartment of Internal Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.
Seung Joon KimDepartment of Internal Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.
Young Kyoon KimDepartment of Internal Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.
Sang Haak LeeDepartment of Internal Medicine, St. Paul's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.
Chan Kwon ParkDepartment of Internal Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea.
Sang Ho KimDepartment of Pathology, The Catholic University of Korea College of Medicine, Seoul, Korea.
Mi Sun ParkDepartment of Biostatistics, Clinical Research Coordinating Center, The Catholic University of Korea, Seoul, Korea.
Hyeon Woo YimDepartment of Biostatistics, Clinical Research Coordinating Center, The Catholic University of Korea, Seoul, Korea.
Jong Y ParkDivision of Cancer Prevention and Control, Moffitt Cancer Center, Tampa, FL, USA.
Catholic University of Korea · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRThe Catholic University of Korea Uijeongbu St. Mary's Hospital · KRMoffitt Cancer Center · USSt. Paul's Hospital · KRThe Catholic University of Korea Yeouido St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional biomarkers cannot always establish the cause of pleural effusions; thus, alternative tests permitting rapid and accurate diagnosis are required. The primary aim of this study is to assess the ability of pentraxin-3 (PTX3) in order to diagnose the cause of pleural effusion and compare its efficacy to that of other previously identified biomarkers.

methodsWe studied 118 patients with pleural effusion, classified as transudates and exudates including malignant, tuberculous, and parapneumonic effusions (MPE, TPE, and PPE). The levels of PTX3, C-reactive protein (CRP), procalcitonin (PCT) and lactate in the pleural fluid were assessed.

resultsThe levels of pleural fluid PTX3 were significantly higher in patients with PPE than in those with MPE or TPE. PTX3 yielded the most favorable discriminating ability to predict PPE from MPE or TPE by providing the following: area under the curve, 0.74 (95% confidence interval, 0.63-0.84), sensitivity, 62.07%; and specificity, 81.08% with a cut-off point of 25.00 ng/mL.

conclusionOur data suggests that PTX3 may allow improved differentiation of PPE from MPE or TPE compared to the previously identified biomarkers CRP and PCT.

Indexed as

Pleural EffusionPTX3 Protein

Identifiers

PMID24416055
PMCPMC3884112
OpenAlexW1979746573

What OpenQuestion holds

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Registered trials

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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.