Evidence map›Paper›PMID 32118737›Full record

ArticleMedicine2020

Age, absolute CD4 count, and CD4 percentage in relation to HPV infection and the stage of cervical disease in HIV-1-positive women.

Ramadhani Chambuso, Raj Ramesar, Evelyn Kaambo, Alltalents T Murahwa, Mohammed O E Abdallah, Michelle De Sousa, Lynette Denny, Anna-Lise Williamson, Clive M Gray

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Increased CD4BMC infectious diseases · 2022
    Article
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  7. Review
  8. Article
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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 5 institutions in 4 countries.

Ramadhani ChambusoMRC Unit for Genomic and Precision Medicine, Division of Human Genetics, Department of Pathology.
Raj RamesarMRC Unit for Genomic and Precision Medicine, Division of Human Genetics, Department of Pathology.
Evelyn KaamboDivision of Medical Virology, Department of Pathology, Faculty of Health Sciences.
Alltalents T MurahwaDivision of Medical Virology, Department of Pathology, Faculty of Health Sciences.
Mohammed O E AbdallahMRC Unit for Genomic and Precision Medicine, Division of Human Genetics, Department of Pathology.
Michelle De SousaDepartment of Obstetrics and Gynaecology, Victoria Wynberg Hospital, Cape Town.
Lynette DennySouth African Medical Research Council, Clinical Gynaecological Cancer Research Centre.
Anna-Lise WilliamsonDivision of Medical Virology, Department of Pathology, Faculty of Health Sciences.
Clive M GrayDivision of Immunology, Institute of Infectious Disease and Molecular Medicine and Department of Pathology, University of Cape Town.
South African Medical Research Council · ZAGenomic (Brazil) · BRGroote Schuur Hospital · ZAMuslim University of Morogoro · TZUniversity of Namibia · NA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A subgroup of women who are co-infected with human immunodeficiency virus type 1 (HIV-1) and human papillomavirus (HPV), progress rapidly to cervical disease. We characterized HPV genotypes within cervical tumor biopsies, assessed the relationships of cervical disease stage with age, HIV-1 status, absolute CD4 count, and CD4 percentage, and identified the predictive power of these variables for cervical disease stage in a cohort of South African women.We recruited 181 women who were histologically diagnosed with cervical disease; 87 were HIV-1-positive and 94 were HIV-1-seronegative. Colposcopy-directed tumor biopsies were confirmed by histology and used for genomic DNA extraction. The Roche Linear Array HPV genotyping test was used for HPV genotyping. Peripheral whole blood was used for HIV-1 rapid testing. Fully automated FC500MPL/CellMek with PanLeucogate (PLG) was used to determine absolute CD4 count, CD4 percentage, and CD45 count. Chi-squared test, a logistic regression model, parametric Pearson correlation, and ROC curves were used for statistical analyses. We used the Benjamini-Horchberg test to control for false discovery rate (FDR, q-value). All tests were significant when both P and q were <.05.Age was a significant predictor for invasive cervical cancer (ICC) in both HIV-1-seronegative (P < .0001, q < 0.0001) and HIV-1-positive women (P = .0003, q = 0.0003). Sixty eight percent (59/87) of HIV-1-positive women with different stages of cervical disease presented with a CD4 percentage equal or less than 28%, and a median absolute CD4 count of 400 cells/μl (IQR 300-500 cells/μl). Of the HIV-1-positive women, 75% (30/40) with ICC, possessed ≤28% CD4 cells vs 25% (10/40) who possessed >28% CD4 cells (both P < .001, q < 0.001). Furthermore, 70% (28/40) of women with ICC possessed CD4 count >350 compared to 30% (12/40) who possessed CD4 count ≤ 350 (both P < .001, q < 0.001).Age is an independent predictor for ICC. In turn, development of ICC in HIV-1-positive women is independent of the host CD4 cells and associates with low CD4 percentage regardless of absolute CD4 count that falls within the normal range. Thus, using CD4 percentage may add a better prognostic indicator of cervical disease stage than absolute CD4 count alone.

Indexed as

HIV-1HIV InfectionsAdultAge FactorsCD4 Lymphocyte CountCohort StudiesFemaleHumansNeoplasm StagingPapillomavirus InfectionsRisk FactorsSouth AfricaUterine Cervical DysplasiaUterine Cervical Neoplasms

Identifiers

PMID32118737
PMCPMC7478573
OpenAlexW3010588448

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.