Evidence map›Paper›PMID 35847811›Full record

ArticleFrontiers in medicine2022

Performance of TB-LAMP in the Diagnosis of Tuberculous Empyema Using Samples Obtained From Pleural Decortication.

Chang Liu, Lichao Fan, Jiansong Zhang, Qi Hong, Yi Ren, Huaiyu Tian, Yu Chen

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

7 authors.

Chang LiuDepartment of Thoracic Surgery, Shenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, China.
Lichao FanDepartment of Tuberculosis, Shenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, China.
Jiansong ZhangDepartment of Thoracic Surgery, Shenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, China.
Qi HongDepartment of Thoracic Surgery, Shenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, China.
Yi RenDepartment of Thoracic Surgery, Shenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, China.
Huaiyu TianDepartment of Thoracic Surgery, Shenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, China.
Yu ChenDepartment of Tuberculosis, Shenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the performance of TB-LAMP in the diagnosis of TB empyema using pleural tissue specimens obtained during pleural decortication. Methods: Using the clinical records and the different diagnostic test results of patients who underwent pleural decortication in a TB-designated hospital over 3.5 years, we calculated the sensitivity, specificity positive predictive, and negative predictive values of the pathology, MGIT 960 culture, and TB-LAMP obtained by using pleural tissue specimens against the etiologic diagnosis and composite clinical reference standard (CCRS) as the reference standards. Result: A total of 304 patients' records were extracted. All these patients had gone through pleural decortication. When the etiologic diagnosis was used as the reference, the sensitivity of TB-LAMP in identifying TB empyema was 77.8% (compared to 10.6% of MGIT 960 Conclusion: TB-LAMP has great potential in faster and more accurate diagnosis of TB empyema. Our findings provide insights for optimizing diagnostic algorithms for TB empyema.

Indexed as

diagnostic studyloop-mediated isothermal amplification assay (LAMP)Mycobacterium tuberculosispleural tissue specimensTB empyema

Identifiers

PMID35847811
PMCPMC9278273

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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.