Evidence map›Paper›PMID 36752508›Full record

SynthesisJournal of the National Cancer Institute2023

Test performance metrics for breast, cervical, colon, and lung cancer screening: a systematic review.

Kevin Selby, Mai Sedki, Emma Levine, Aruna Kamineni, Beverly B Green, Anil Vachani, Jennifer S Haas, Debra P Ritzwoller, Jennifer M Croswell, Kabiru Ohikere and 6 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.0field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Quality indicators for cervical screening in Sweden.Journal of medical screening · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024
    Review
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

16 authors at 8 institutions in 2 countries.

Kevin SelbyCenter for Primary Care and Public Health (Unisanté), Lausanne, Switzerland.ORCID 0000-0002-9096-0720
Mai SedkiDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Emma LevineUniversity of California at San Francisco, San Francisco, CA, USA.
Aruna KamineniKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Beverly B GreenKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Anil VachaniPulmonary, Allergy, and Critical Care Division, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Jennifer S HaasDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Debra P RitzwollerInstitute for Research, Kaiser Permanente Colorado, Denver, CO, USA.ORCID 0000-0001-7116-8458
Jennifer M CroswellDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Kabiru OhikereDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
V Paul Doria-RoseDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Katharine A RendleDepartment of Family Medicine & Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jessica ChubakKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Jennifer Elston LafataEshelman School of Pharmacy and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, Chapel Hill, NC,USA.
John InadomiDepartment of Internal Medicine, University of Utah, Salt Lake City, UT, USA.
Douglas A CorleyDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Kaiser Permanente · USKaiser Permanente Washington Health Research Institute · USNational Cancer Institute · USUniversity of Pennsylvania · USCentre universitaire de médecine générale et santé publique, Lausanne · CHMassachusetts General Hospital · USUniversity of North Carolina at Chapel Hill · USUniversity of Utah · US

Funding

Optimizing Colorectal Cancer Screening PREcision and Outcomes in CommunIty-baSEd Populations (PRECISE)UM1CA222035 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CHUBAK, JESSICA, CORLEY, DOUGLAS ALLEN · 2018 to 2023
$15.6M
Center for Research to Optimize Precision Lung Cancer Screening in Diverse PopulationsUM1CA221939 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI RITZWOLLER, DEBRA P, VACHANI, ANIL · 2018 to 2023
$15.3M
TRAINING GRANT IN ACADEMIC GASTROENTEROLOGYT32DK007056 · NIDDK · STANFORD UNIVERSITY · PI Natalie J. Torok · 1986 to 2026
$6.5M
NCI NIH HHS UM1 CA221939NCI NIH HHS UM1 CA222035NIDDK NIH HHS T32 DK007056NIH HHS UM1CA222035
6 · The paper itself

Abstract

backgroundMultiple quality metrics have been recommended to ensure consistent, high-quality execution of screening tests for breast, cervical, colorectal, and lung cancers. However, minimal data exist evaluating the evidence base supporting these recommendations and the consistency of definitions and concepts included within and between cancer types.

methodsWe performed a systematic review for each cancer type using MEDLINE, Embase, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) from 2010 to April 2020 to identify guidelines from screening programs or professional organizations containing quality metrics for tests used in breast, cervical, colorectal, and lung cancer screening. We abstracted metrics' definitions, target performance levels, and related supporting evidence for test completeness, adequacy (sufficient visualization or collection), accuracy, and safety.

resultsWe identified 11 relevant guidelines with 20 suggested quality metrics for breast cancer, 5 guidelines with 9 metrics for cervical cancer, 13 guidelines with 18 metrics for colorectal cancer (CRC), and 3 guidelines with 7 metrics for lung cancer. These included 54 metrics related to adequacy (n = 6), test completeness (n = 3), accuracy (n = 33), and safety (n = 12). Target performance levels were defined for 30 metrics (56%). Ten (19%) were supported by evidence, all from breast and CRC, with no evidence cited to support metrics from cervical and lung cancer screening.

conclusionsConsiderably more guideline-recommended test performance metrics exist for breast and CRC screening than cervical or lung cancer. The domains covered are inconsistent among cancers, and few targets are supported by evidence. Clearer evidence-based domains and targets are needed for test performance metrics. REGISTRATION: PROSPERO 2020 CRD42020179139.

Indexed as

Colorectal NeoplasmsLung NeoplasmsUterine Cervical NeoplasmsEarly Detection of CancerFemaleHumansMass Screening

Identifiers

PMID36752508
PMCPMC10086636
OpenAlexW4319460423

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.