Evidence map›Paper›PMID 33175465›Full record

ArticleInternational journal of clinical practice2021

Combination of prealbumin and tuberculosis-specific antigen/phytohemagglutinin ratio for discriminating active tuberculosis from latent tuberculosis infection.

Ying Luo, Ying Xue, Xu Yuan, Qun Lin, Guoxing Tang, Liyan Mao, Huijuan Song, Feng Wang, Ziyong Sun

Open access · hybridAbstract read
In one paragraph

Article in International journal of clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  7. Impact of anemia on prognosis in tuberculosis patients.Annals of translational medicine · 2022
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  10. Combination of HLA-DR onFrontiers in immunology · 2021
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  12. Activation Phenotype ofFrontiers in immunology · 2021
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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

9 authors at 2 institutions in 1 country.

Ying LuoDepartment of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ying XueDepartment of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xu YuanDepartment of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qun LinDepartment of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Guoxing TangDepartment of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liyan MaoDepartment of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huijuan SongDepartment of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Feng WangDepartment of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ziyong SunDepartment of Laboratory Medicine, Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-6443-9755
Tongji University · CNHuazhong University of Science and Technology · CN

Funding

Major State Basic Research Development Program of China 2017ZX10103005-007National Natural Science Foundation of China 81401639
6 · The paper itself

Abstract

backgroundGiven that there is no rapid and effective method for distinguishing active tuberculosis (ATB) from latent tuberculosis infection (LTBI), the discrimination between these two statuses remains challenging. This study sought to investigate the value of nutritional indexes and tuberculosis-specific antigen/phytohemagglutinin ratio (TBAg/PHA ratio) for distinguishing ATB from LTBI.

methodsParticipants were consecutively recruited based on positive T-SPOT.TB results between January 2018 and January 2020. ATB was diagnosed by positive mycobacterial culture and/or positive GeneXpert MTB/RIF, with clinical symptoms and radiological characteristics suggestive of ATB. Individuals with positive T-SPOT.TB but without the evidence of ATB were defined as LTBI. Patients younger than 17 years and undergoing anti-TB treatment were excluded.

resultsA total of 709 (312 ATB and 397 LTBI) and another 309 (120 ATB and 189 LTBI) subjects were respectively recruited from Tongji Hospital (Qiaokou cohort) and Sino-French New City Hospital (Caidian cohort). The level of prealbumin was significantly lower in ATB than in LTBI. With a cut-off value of 139 mg/L, the sensitivity and specificity of prealbumin in distinguishing ATB from LTBI were 50.96% (45.41%-56.51%) and 91.69% (88.97%-94.40%). Meanwhile, TBAg/PHA ratio was found statistically higher in ATB compared with LTBI. If using the threshold of 0.29, the sensitivity and specificity of TBAg/PHA ratio were 65.71% (60.44%-70.97%) and 90.93% (88.11%-93.76%), respectively. Moreover, the combination of prealbumin and TBAg/PHA ratio (obtaining by diagnostic model) yielded better specificity (90.18%, [87.25%-93.10%]) and sensitivity (87.18%, [83.47%-90.89%]), while the clinical utility index (CUI) positive and CUI negative were respectively 0.76 and 0.81. After anti-TB treatment, TBAg/PHA ratio was declined while the level of prealbumin was restored (Wilcoxon test, P < 0.001). Furthermore, the performance of diagnostic model obtained in Qiaokou cohort was confirmed in Caidian cohort.

conclusionsThe diagnostic model based on combination of prealbumin and TBAg/PHA ratio is a rapid and accurate tool for discriminating ATB from LTBI.

Indexed as

Latent TuberculosisMycobacterium tuberculosisTuberculosisAntigens, BacterialHumansPhytohemagglutininsPrealbuminAntigens, BacterialPhytohemagglutininsPrealbumin

Identifiers

PMID33175465
PMCPMC8047891
OpenAlexW3102325753

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.