Evidence map›Paper›PMID 28707435›Full record

ArticleCancer medicine2017

Evidence-based policy choices for efficient and equitable cervical cancer screening programs in low-resource settings.

Nicole G Campos, Vivien Tsu, Jose Jeronimo, Mercy Mvundura, Jane J Kim

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  10. Cancer screening simulation models: a state of the art review.BMC medical informatics and decision making · 2021
    Review
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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

5 authors at 2 institutions in 1 country.

Nicole G CamposCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, 718 Huntington Avenue, Boston, Massachusetts.ORCID http://orcid.org/0000-0002-0840-4339
Vivien TsuPATH, Reproductive Health Program, Seattle, Washington.
Jose JeronimoPATH, Reproductive Health Program, Seattle, Washington.
Mercy MvunduraPATH, Devices and Tools Program, Seattle, Washington.
Jane J KimCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, 718 Huntington Avenue, Boston, Massachusetts.
Program for Appropriate Technology in Health · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women in developing countries disproportionately bear the burden of cervical cancer. The availability of prophylactic vaccines against human papillomavirus (HPV) types 16 and 18, which cause approximately 70% of cervical cancers, provides reason for optimism as roll-out begins with support from Gavi, the Vaccine Alliance. However, for the hundreds of millions of women beyond the target age for HPV vaccination, cervical cancer screening to detect and treat precancerous lesions remains the only form of prevention. Here we describe the challenges that confront screening programs in low-resource settings, including (1) optimizing screening test effectiveness; (2) achieving high screening coverage of the target population; and (3) managing screen-positive women. For each of these challenges, we summarize the tradeoffs between resource utilization and programmatic attributes. We then highlight opportunities for efficient and equitable programming, with supporting evidence from recent mathematical modeling analyses informed by data from the PATH demonstration projects in India, Nicaragua, and Uganda.

Indexed as

Choice BehaviorEarly Detection of CancerHealth PolicyHealth ResourcesComputer SimulationCost-Benefit AnalysisDeveloping CountriesDisease ManagementFemaleHumansMass ScreeningModels, TheoreticalPapillomavirus InfectionsUterine Cervical Neoplasmscancer screeningcervical cancercost-effectiveness analysishealth policyHPV DNA test

Identifiers

PMID28707435
PMCPMC5548874
OpenAlexW2734464060

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.