Evidence map›Paper›PMID 25101757›Full record

Trial reportPloS one2014

Natural history of anal dysplasia in an HIV-infected clinical care cohort: estimates using multi-state Markov modeling.

William C Mathews, Wollelaw Agmas, Edward R Cachay, Bard C Cosman, Christopher Jackson

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 8% 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, 38 citations in OpenAlex.

  1. Article
  2. Clinical Predictors and Outcomes of Invasive Anal Cancer for People With HIV in an Inception Cohort.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Progression of Anal Intraepithelial Neoplasia to Cancer Is Low with Anoscopy Surveillance and Treatment.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2022
    Article
  9. Association of Immunosuppression and Human Immunodeficiency Virus (HIV) Viremia With Anal Cancer Risk in Persons Living With HIV in the United States and Canada.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  10. Article
  11. Article
  12. Disparities in the Clinical Evolution of Anal Neoplasia in an HIV-Infected Cohort.Journal of racial and ethnic health disparities · 2018
    Article
  13. Article
  14. Article
  15. 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

5 authors at 2 institutions in 2 countries.

William C MathewsDepartment of Medicine, University of California San Diego, San Diego, California, United States of America.
Wollelaw AgmasDepartment of Medicine, University of California San Diego, San Diego, California, United States of America.
Edward R CachayDepartment of Medicine, University of California San Diego, San Diego, California, United States of America.
Bard C CosmanDepartment of Surgery, University of California San Diego, San Diego, California, United States of America.
Christopher JacksonMedical Research Council Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, United Kingdom.
University of California, San Diego · USMedical Research Council · GB

Funding

Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Medical Research Council MC_U105260556NIAID NIH HHS AI036214NIAID NIH HHS P30 AI036214NIAID NIH HHS R24 AI067039
6 · The paper itself

Abstract

objectives(1) To model the natural history of anal neoplasia in HIV-infected patients using a 3-state Markov model of anal cancer pathogenesis, adjusting for cytology misclassification; and (2) to estimate the effects of selected time-varying covariates on transition probabilities.

designA retrospective cytology-based inception screening cohort of HIV-infected adults was analyzed using a 3-state Markov model of clinical pathogenesis of anal neoplasia.

methodsLongitudinally ascertained cytology categories were adjusted for misclassification using estimates of cytology accuracy derived from the study cohort. Time-varying covariate effects were estimated as hazard ratios.

results(1) There was a moderate to high probability of regression of the high grade squamous intraepithelial lesion (HSIL) state (27-62%) at 2 years after initial cytology screening; (2) the probability of developing invasive anal cancer (IAC) during the first 2 years after a baseline HSIL cytology is low (1.9-2.8%); (3) infrared coagulation (IRC) ablation of HSIL lesions is associated with a 2.2-4.2 fold increased probability of regression to <HSIL; and (4) antiretroviral therapy, suppressed HIV plasma viral load, and CD4 ≥350/mm3 are each associated with reduced probability of progression from <HSIL to HSIL.

conclusionsThe finding of moderate to high rates of regression of the HSIL state accompanied by low rates of progression to IAC should inform both screening and precursor treatment guideline development. There appears to be a consistent and robust beneficial effect of antiretroviral therapy, suppressed viral load, and higher CD4 on the transition from the <HSIL state to the HSIL state.

Indexed as

Anus NeoplasmsHIV-1HIV InfectionsModels, BiologicalRetrospective StudiesAdultFemaleHumansMaleMarkov ChainsNeoplasm Invasiveness

Identifiers

PMID25101757
PMCPMC4125167
OpenAlexW1970835307

What OpenQuestion holds

Textmetadata
LicenceCC0
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.