Evidence map›Paper›PMID 38955446›Full record

ArticleSaudi medical journal2024

Retrospective analysis of the clinical utility of multi-cytokine profiles in smear-negative pulmonary tuberculosis.

Xuemei Li, Weidong Zhao, Hong Han, Zhi Yang, Fengqing Bi, Yingchun He

Abstract read
In one paragraph

Article in Saudi medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xuemei LiFrom the Department of Clinical Laboratory (Li, Han, Yang, Bi, He), First Affiliated Hospital of Dali University; from the Department of Clinical Laboratory (Zhao), School of Clinical Medicine, Dali University, Dali, Yunnan, China; and from the Department of Clinical Laboratory (Zhao), Second Infectious Disease Hospital of Yunnan Province, Dali, Yunnan, China.
Weidong ZhaoFrom the Department of Clinical Laboratory (Li, Han, Yang, Bi, He), First Affiliated Hospital of Dali University; from the Department of Clinical Laboratory (Zhao), School of Clinical Medicine, Dali University, Dali, Yunnan, China; and from the Department of Clinical Laboratory (Zhao), Second Infectious Disease Hospital of Yunnan Province, Dali, Yunnan, China.
Hong HanFrom the Department of Clinical Laboratory (Li, Han, Yang, Bi, He), First Affiliated Hospital of Dali University; from the Department of Clinical Laboratory (Zhao), School of Clinical Medicine, Dali University, Dali, Yunnan, China; and from the Department of Clinical Laboratory (Zhao), Second Infectious Disease Hospital of Yunnan Province, Dali, Yunnan, China.
Zhi YangFrom the Department of Clinical Laboratory (Li, Han, Yang, Bi, He), First Affiliated Hospital of Dali University; from the Department of Clinical Laboratory (Zhao), School of Clinical Medicine, Dali University, Dali, Yunnan, China; and from the Department of Clinical Laboratory (Zhao), Second Infectious Disease Hospital of Yunnan Province, Dali, Yunnan, China.
Fengqing BiFrom the Department of Clinical Laboratory (Li, Han, Yang, Bi, He), First Affiliated Hospital of Dali University; from the Department of Clinical Laboratory (Zhao), School of Clinical Medicine, Dali University, Dali, Yunnan, China; and from the Department of Clinical Laboratory (Zhao), Second Infectious Disease Hospital of Yunnan Province, Dali, Yunnan, China.
Yingchun HeFrom the Department of Clinical Laboratory (Li, Han, Yang, Bi, He), First Affiliated Hospital of Dali University; from the Department of Clinical Laboratory (Zhao), School of Clinical Medicine, Dali University, Dali, Yunnan, China; and from the Department of Clinical Laboratory (Zhao), Second Infectious Disease Hospital of Yunnan Province, Dali, Yunnan, China.ORCID https://orcid.org/0009-0006-2707-0190

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate cytokine profiles and interferon-gamma release assay (IGRA) for their diagnostic capabilities in the differentiation of tuberculosis (TB) from non-TB conditions, as well as smear-negative pulmonary tuberculosis (SNPT) from smear-positive pulmonary tuberculosis (SPPT).

methodsA total of 125 participants were included, 77 of whom had TB and 48 who didn't, and demographic, clinical, and laboratory data were collected, including cytokine levels and IGRA results. The TB patients were further divided into 2 subgroups: SNPT (n=42) and SPPT (n=35).

resultsCompared to non-TB, the TB group had lower BMI, higher WBC, neutrophils, monocytes, ESR and CRP (

conclusionA multi-biomarker approach combining these cytokines demonstrates enhanced diagnostic accuracy for tuberculosis.

Indexed as

CytokinesTuberculosis, PulmonaryAdultFemaleHumansInterferon-gamma Release TestsInterleukin-10Interleukin-2Interleukin-6Interleukin-8MaleMiddle AgedRetrospective StudiesROC CurveCytokinesInterleukin-10Interleukin-2Interleukin-6Interleukin-8cytokine profilesMycobacterium tuberculosisretrospective analysissmear-negative pulmonary tuberculosis

Identifiers

PMID38955446
PMCPMC11237276

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.