Evidence map›Paper›PMID 31913555›Full record

ArticleThe Kaohsiung journal of medical sciences2020

Cervical neoplastic lesions in relation to CD4 T-lymphocyte counts and antiretroviral therapy among women with clinical stage 1 HIV in Yunnan, China.

Dong-Yu Zhang, Wen Chen, Hong-Yun Zhang, Song-Qin Lv, Xiao-Ning Lu, Yan-Ping Tao, Mi Zhang, Jia-Fa Liu, Min Yang, You-Lin Qiao and 1 more

Open access · goldAbstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors at 5 institutions in 2 countries.

Dong-Yu ZhangDepartment of Oncology, Georgetown University School of Medicine, Washington, District of Columbia.ORCID https://orcid.org/0000-0002-3545-1771
Wen ChenDepartment of Cancer Epidemiology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hong-Yun ZhangDepartment of Obstetrics and Gynecology, Kunming Medical University, Kunming, China.
Song-Qin LvDepartment of Obstetrics and Gynecology, Kunming Medical University, Kunming, China.
Xiao-Ning LuDepartment of Obstetrics and Gynecology, Kunming Medical University, Kunming, China.
Yan-Ping TaoDepartment of Obstetrics and Gynecology, Kunming Medical University, Kunming, China.
Mi ZhangDepartment of HIV/AIDS Clinical Research, Yunnan Provincial Hospital of Infectious Disease, AIDS Care Center (YNACC), Kunming, China.
Jia-Fa LiuDepartment of HIV/AIDS Clinical Research, Yunnan Provincial Hospital of Infectious Disease, AIDS Care Center (YNACC), Kunming, China.
Min YangDepartment of Epidemiology, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, North Carolina.
You-Lin QiaoDepartment of Cancer Epidemiology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dejana BraithwaiteDepartment of Oncology, Georgetown University School of Medicine, Washington, District of Columbia.
Kunming Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNGeorgetown University · USYunnan Provincial Infectious Disease Hospital · CNUniversity of North Carolina at Chapel Hill · US

Funding

Georgetown University Global Health Initiative AwardYunnan Province HIV/AIDS Innovative Prevention Project 2012010
6 · The paper itself

Abstract

China lacks data demonstrating associations of cervical neoplastic lesions with CD4 T-lymphocyte (CD4 cell) counts and antiretroviral therapy (ART) among HIV-infected women, suggesting relevant investigations are needed. A total of 545 HIV-infected women were enrolled in Yunnan, China, between 2011 and 2013. CD4 cell counts and ART were measured via medical records and cervical neoplastic lesions were measured by professional pathologists. Multivariable logistic models, which treated cervical intraepithelial neoplasia (CIN) 1+ and CIN2+ as outcomes, calculated adjusted odds ratio (aOR) of CD4 cell counts and ART. Subgroup analysis treating CIN1+ as the outcome was conducted by HIV infection duration (<4 vs ≥4 years), ethnicity (Han vs non-Han), and study site (Mangshi vs Kunming). The prevalence of CIN1+ and CIN2+ was 17.4% and 7.3%, respectively. Overall, 243 (44.6%) women had CD4 cell counts ≥500 cell/μL, 187 (34.3%) used ART for less than 2 years, and 236 (43.3%) used ART for at least 2 years. We found inverse associations of CIN1+ with CD4 cell counts (≥500 compared to <500 cells/μL: aOR = 0.46, 95% CI = 0.27-0.79) and ART use (<2 years: aOR = 0.43, 95% CI = 0.21-0.87; ≥2 years: aOR = 0.54, 95% CI = 0.27-1.10). Point estimates did not change substantially for CIN2+ but aORs of ART became nonsignificant. No significant interaction was observed for HIV infection duration. We found significant interaction between CD4 cell counts and ethnicity and study site in relation to CIN1+. Our study suggests potential protective effects of high CD4 cell counts against cervical neoplastic lesions among HIV-infected women, whereas associations of ART are less consistent.

Indexed as

AdultAgedAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCD4-Positive T-LymphocytesCervix UteriChinaEthnicityFemaleHIV InfectionsHumansLogistic ModelsMiddle AgedOdds RatioPrevalenceAnti-HIV Agentsantiretroviral therapyCD4 T-lymphocytecervical cancerepidemiologyHIV

Identifiers

PMID31913555
PMCPMC11896414
OpenAlexW3000257162

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.