Evidence map›Paper›PMID 30140882›Full record

ArticleJAMA2018

Screening for Cervical Cancer in Primary Care: A Decision Analysis for the US Preventive Services Task Force.

Jane J Kim, Emily A Burger, Catherine Regan, Stephen Sy

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in JAMA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05227261 (Assessment of a Novel Blood Test in Early Detection of the Five Common Cancers Based on the Investigation of the Circulating Tumour DNA), which is not on this map. Cited by 87 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 4 pooled it
11.5field-weighted citation impact, top 1% 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.

NCT05227261 completednot on this mapstarted 2022, after this paper: background citation

Assessment of a Novel Blood Test in Early Detection of the Five Common Cancers Based on the Investigation of the Circulating Tumour DNA

TypeobservationalSponsorGene SolutionsRan2022 to 2024Enrolled9,057ConditionsCancer, Lung, Cancer, Breast, Cancer Liver, Cancer, Colorectal
3 · Its place in the literature

Who cites it

87 citing papers in PubMed, 4 syntheses or guidelines pooled it, 161 citations in OpenAlex.

  1. Pooled it
  2. Sexually Transmitted Infections Treatment Guidelines, 2021.MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports · 2021
    Guideline
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Clinical Decision Support with or without Shared Decision Making to Improve Preventive Cancer Care: A Cluster-Randomized Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Trial
  7. Article
  8. A Quantitative Framework to Assess the Potential of Earlier Cancer Detection to Improve Cancer Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Impact of repeatedly screening negative on cervical cancer risk.Journal of the National Cancer Institute · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Optimizing the Harms and Benefits of Cervical Screening in a Partially Vaccinated Population in Ontario, Canada: A Modeling Study.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  20. Review

27 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Jane J KimDepartment of Health Policy and Management, Center for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Emily A BurgerDepartment of Health Policy and Management, Center for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Catherine ReganDepartment of Health Policy and Management, Center for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Stephen SyDepartment of Health Policy and Management, Center for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
University of Oslo · NO

Funding

Comparative Modeling to Inform Cervical Cancer Control PoliciesU01CA199334 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNABAS, RUANNE VANESSA, CANFELL, KAREN · 2015 to 2019
$6.4M
NCI NIH HHS U01 CA199334
6 · The paper itself

Abstract

Importance: Evidence on the relative benefits and harms of primary high-risk human papillomavirus (hrHPV) testing is needed to inform guidelines. Objective: To inform the US Preventive Services Task Force by modeling the benefits and harms of various cervical cancer screening strategies. Design, Setting, and Participants: Microsimulation model of a hypothetical cohort of women initiating screening at age 21 years. Exposures: Screening with cytology, hrHPV testing, and cytology and hrHPV cotesting, varying age to switch from cytology to hrHPV testing or cotesting (25, 27, 30 years), rescreening interval (3, 5 years), and triage options for hrHPV-positive results (16/18 genotype, cytology testing). Current guidelines-based screening strategies comprised cytology alone every 3 years starting at age 21 years, with or without a switch to cytology and hrHPV cotesting every 5 years from ages 30 to 65 years. Complete adherence for all 19 strategies was assumed. Main Outcomes and Measures: Lifetime number of tests, colposcopies, disease detection, false-positive results, cancer cases and deaths, life-years, and efficiency ratios expressing the trade-off of harms (ie, colposcopies, tests) vs benefits (life-years gained, cancer cases averted). Efficient strategies were those that yielded more benefit and less harm than another strategy or a lower harm to benefit ratio than a strategy with less harms. Results: Compared with no screening, all modeled cervical cancer screening strategies were estimated to result in substantial reductions in cancer cases and deaths and gains in life-years. The effectiveness of screening across the different strategies was estimated to be similar, with primary hrHPV-based and alternative cotesting strategies having slightly higher effectiveness and greater harms than current guidelines-based cytology testing. For example, cervical cancer deaths associated with the guidelines-based strategies ranged from 0.30 to 0.76 deaths per 1000 women, whereas new strategies involving primary hrHPV testing or cotesting were associated with fewer cervical cancer deaths, ranging from 0.23 to 0.29 deaths per 1000 women. In all analyses, primary hrHPV testing strategies occurring at 5-year intervals were efficient. For example, 5-year primary hrHPV testing (cytology triage) based on switching from cytology to hrHPV screening at ages 30 years, 27 years, and 25 years had ratios per life-year gained of 73, 143, and 195 colposcopies, respectively. In contrast, strategies involving 3-year hrHPV testing had much higher ratios, ranging from 2188 to 3822 colposcopies per life-year gained. In most analyses, strategies involving cotesting were not efficient. Conclusions and Relevance: In this microsimulation modeling study, it was estimated that primary hrHPV screening may represent a reasonable balance of harms and benefits when performed every 5 years. Switching from cytology to hrHPV testing at age 30 years yielded the most efficient harm to benefit ratio when using colposcopy as a proxy for harms.

Indexed as

Decision Support TechniquesEarly Detection of CancerPractice Guidelines as TopicVaginal SmearsAdultAdvisory CommitteesAgedCervix UteriColposcopyFemaleHumansIncidenceLife ExpectancyMass ScreeningMiddle AgedPapillomaviridae

Identifiers

PMID30140882
PMCPMC8653579
OpenAlexW2888613042

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.