Evidence map›Paper›PMID 36938418›Full record

ArticleHeliyon2023

Clinical symptoms and immune injury reflected by low CD4/CD8 ratio should increase the suspicion of HIV coinfection with tuberculosis.

Li Li, Zulipikaer Abudureheman, XueMei Zhong, Hui Gong, Fan Yang, Abuduweili Awuti, Ayiguli Alimu, Subinuer Yilamujiang, DaYong Zheng, XiaoGuang Zou

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. 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
0.4field-weighted citation impact, top 43% 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

10 authors at 1 institution in 1 country.

Li LiDepartment of Respiratory and Critical Care Medicine, First People's Hospital of Kashi, Kashi, China.
Zulipikaer AbudurehemanDepartment of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
XueMei ZhongDepartment of Respiratory and Critical Care Medicine, First People's Hospital of Kashi, Kashi, China.
Hui GongDepartment of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
Fan YangDepartment of Infectious Diseases, First People's Hospital of Kashi, Kashi, China.
Abuduweili AwutiDepartment of Infectious Diseases, First People's Hospital of Kashi, Kashi, China.
Ayiguli AlimuDepartment of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
Subinuer YilamujiangDepartment of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
DaYong ZhengDepartment of Respiratory and Critical Care Medicine, First People's Hospital of Kashi, Kashi, China.
XiaoGuang ZouDepartment of Respiratory and Critical Care Medicine, First People's Hospital of Kashi, Kashi, China.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients who are coinfected with human immunodeficiency virus 1 (HIV) and Methods: A total of 62 patients with HIV, TB, or HIV-TB who were first hospitalized at our institution were included in the study, as were 30 controls. PBMCs were isolated, and the frequencies of CD3 Results: The frequency of CD4 Conclusion: Clinical symptoms and the degree of immune injury can heighten suspicion for HIV-TB coinfection.

Indexed as

CD4/CD8 ratioCD4+ T cellsHIV-TB coinfection

Identifiers

PMID36938418
PMCPMC10015191
OpenAlexW4323030620

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.