Evidence map›Paper›PMID 39764429›Full record

ArticleMDM policy & practice

Cervical Cancer and Cervical Cancer Screening in Women with HIV in Guangxi, China: A Model Simulation Study.

Ran Zhao, Shalini Kulasingam

Abstract read
In one paragraph

Article in MDM policy & practice. 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

2 authors.

Ran ZhaoDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.ORCID https://orcid.org/0000-0001-9539-8274
Shalini KulasingamDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.

Funding

Comparative Modeling to Inform Cervical Cancer Control Policies: USPSTF SupplementU01CA253912 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNABAS, RUANNE VANESSA, CANFELL, KAREN · 2020 to 2024
$7.9M
NCI NIH HHS U01 CA253912
6 · The paper itself

Abstract

Highlights: Our comprehensive model can be used to evaluate various health interventions that aim to reduce the disease burden caused by HPV and cervical cancer.Cytology-based cervical cancer screening tailored to WLWH in Guangxi, China can effectively prevent cervical cancer cases and cancer deaths.Adopting a 3- or 5-y screening interval may provide a more reasonable balance of benefits and harms to prevent future cancer cases and deaths.

Indexed as

Cervical Cancer ScreeningDecision MakingHealth PolicyHIVHPV

Identifiers

PMID39764429
PMCPMC11700423

What OpenQuestion 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 OpenQuestion graph.