Evidence map›Paper›PMID 39909697›Full record

SynthesisThe Lancet. Public health2025

Acceptability and perceptions of personalised risk-based cancer screening among health-care professionals and the general public: a systematic review and meta-analysis.

Naomi Q P Tan, Renu S Nargund, Elisa E Douglas, Maria A Lopez-Olivo, Paul J Resong, Sayaka Ishizawa, Sara Nofal, Kate Krause, Robert J Volk, Iakovos Toumazis

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The Lancet. Public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Patient and Physician Perspectives on Using Risk Prediction to Support Breast Cancer Surveillance Decision Making.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

10 authors.

Naomi Q P TanDivision of Oncology, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA; Rutgers Cancer Institute, New Brunswick, NJ, USA; Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Renu S NargundDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Elisa E DouglasDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Maria A Lopez-OlivoDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Paul J ResongDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Reno School of Medicine, University of Nevada, Reno, NV, USA.
Sayaka IshizawaDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sara NofalDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kate KrauseResearch Medical Library, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Robert J VolkDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Iakovos ToumazisDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: itoumazis@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kathrin Milbury · 1985 to 2026
$290.8M
TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Salma Jabbour · 1997 to 2026
$94.5M
Optimizing Personalized Screening and Diagnostic Decisions for Lung Cancer Based on Dynamic Risk Assessment and Life ExpectancyR37CA271187 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Iakovos Toumazis · 2022 to 2026
$2.8M
NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA072720NCI NIH HHS R37 CA271187
6 · The paper itself

Abstract

backgroundPersonalised risk-based screening (PRBS) can enhance the efficiency of cancer screening programnes, but little is known about support for its implementation among the general public and health-care professionals. We aimed to summarise the acceptability and perceptions of PRBS for breast, cervical, colorectal, lung, and prostate cancer screening among these groups.

methodsWe conducted a systematic review and meta-analysis of original research studies reporting on breast, cervical, colorectal, lung, and prostate cancer screening; personalised risk assessments to guide PRBS; and the acceptability of and receptibility towards these approaches among the general public, health-care professionals, or both. We searched MEDLINE, Embase, Cochrane Central, PsycINFO, and CINAHL Plus for articles published between Jan 1, 2010, and April 30, 2024. Studies not reporting on the outcomes of interest and with insufficient data for analysis were excluded. Six reviewers independently screened articles, and risk of bias was assessed using the Mixed Methods Appraisal Tool. Qualitative data were analysed thematically. Quantitative data were analysed with use of random-effects meta-analysis for outcomes that had at least two studies. The study protocol was registered at PROSPERO, CRD42022354287.

findingsOur search identified 4491 unique records. After screening, 63 studies were included in our analysis, of which 36 (57%) included the general public, 21 (33%) included health-care professionals, and six (11%) included both. The majority of studies focused on breast cancer screening (43 [68%] studies), and were from North America (28 [44%]) and Europe (28 [44%]). Qualitative findings were analysed thematically, and the extracted quantitative findings were synthesised under the following topics: acceptability and perceptions of personalised risk assessments among the general public; acceptability and perceptions of PRBS among the general public; acceptability and perceptions of PRBS among health-care professionals; and barriers and facilitators to PRBS implementation among health-care professionals. The general public and health-care professionals generally found PRBS acceptable, but they needed more information about how risk was calculated and the accuracy of risk scores. Additionally, both groups were cautious about reducing screening frequencies for individuals at low risk and cited barriers such as the time and resources needed to implement an effective PRBS programme. The pooled estimate for acceptability of PRBS was 78% (95% CI 66-88) among the general public and 86% (64-99) among health-care professionals.

interpretationThe general public and health-care professionals both viewed personalised risk assessments as providing valuable information and PRBS as a logical next step to increase the quality of patient care and improve cancer mortality. However, implementation barriers at the public, health-care professional, and system level need to be addressed.

fundingNational Cancer Institute and Cancer Prevention and Research Institute of Texas.

Indexed as

Early Detection of CancerHealth PersonnelNeoplasmsPatient Acceptance of Health CareHumansRisk Assessment

Identifiers

PMID39909697
PMCPMC11817692

What Socratic 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 Socratic graph.