Evidence map›Paper›PMID 35883818›Full record

ArticleAntioxidants (Basel, Switzerland)2022

Elevated Nitrite/Nitrate Ratio as a Potential Biomarker for the Differential Diagnosis of Pleural Effusions.

Mu-Rong Chao, Yuan-Jhe Chang, Ying-Ming Shih, Jian-Lian Chen, Cheng-Chieh Yen, Chiung-Wen Hu

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 4 institutions in 1 country.

Mu-Rong ChaoDepartment of Occupational Safety and Health, Chung Shan Medical University, Taichung 402, Taiwan.
Yuan-Jhe ChangDepartment of Occupational Safety and Health, Chung Shan Medical University, Taichung 402, Taiwan.
Ying-Ming ShihDivision of Chest Medicine, Department of Internal Medicine, Changhua Christian Hospital, Changhua 500, Taiwan.
Jian-Lian ChenSchool of Pharmacy, China Medical University, Taichung 404, Taiwan.
Cheng-Chieh YenDepartment of Occupational Safety and Health, Chung Shan Medical University, Taichung 402, Taiwan.
Chiung-Wen HuDepartment of Public Health, Chung Shan Medical University, Taichung 402, Taiwan.ORCID 0000-0003-4821-7500
Chung Shan Medical University · TWChung Shan Medical University Hospital · TWChanghua Christian Hospital · TWChina Medical University · TW

Funding

Ministry of Science and Technology MOST 106-2314-B-040-015-MY3Ministry of Science and Technology NSC 102-2314-B-040-016-MY3Ministry of Science and Technology NSC 99-2314-B-040-018-MY3
6 · The paper itself

Abstract

Pleural effusions (PEs) are common in clinical practice and can be due to many different underlying diseases such as cancer, congestive heart failure, or pneumonia. An accurate differential diagnostic categorization is essential, as the treatment and prognosis of PEs largely depend on its cause. In this study, we tested the hypothesis that nitrite and nitrate concentrations in PEs are associated with the inflammation and infection conditions. We therefore measured the nitrite and nitrate levels in 143 PE samples using a sensitive liquid chromatography-tandem mass spectrometry method and investigated their diagnostic potential in differentiating PEs. The results showed that nitrite concentrations and nitrite/nitrate ratios were higher in exudates than in transudates (NO

Indexed as

exudatesinfectionLC-MS/MSnitratenitritetransudates

Identifiers

PMID35883818
PMCPMC9312090
OpenAlexW4286631342

What OpenQuestion holds

Textmetadata
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.