Evidence map›Paper›PMID 25023249›Full record

ArticleAnnals of internal medicine2014

Personalizing age of cancer screening cessation based on comorbid conditions: model estimates of harms and benefits.

Iris Lansdorp-Vogelaar, Roman Gulati, Angela B Mariotto, Clyde B Schechter, Tiago M de Carvalho, Amy B Knudsen, Nicolien T van Ravesteyn, Eveline A M Heijnsdijk, Chester Pabiniak, Marjolein van Ballegooijen and 7 more

Abstract read
In one paragraph

Article in Annals of internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 4 pooled it
–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

80 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Review
  8. Impact of Comorbidities on the Mortality Benefits of Lung Cancer Screening: A Post-Hoc Analysis of the PLCO and NLST Trials.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Breast cancer: Epidemiology, risk factors and screening.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2023
    Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Iris Lansdorp-Vogelaar
Roman Gulati
Angela B Mariotto
Clyde B Schechter
Tiago M de Carvalho
Amy B Knudsen
Nicolien T van Ravesteyn
Eveline A M Heijnsdijk
Chester Pabiniak
Marjolein van Ballegooijen
Carolyn M Rutter
Karen M Kuntz
Eric J Feuer
Ruth Etzioni
Harry J de Koning
Ann G Zauber
Jeanne S Mandelblatt

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Janie M Lee · 2011 to 2026
$52.9M
Statistical Coordinating Center for the Breast Cancer Surveillance ConsortiumU01CA086076 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MIGLIORETTI, DIANA L · 2000 to 2011
$8.5M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
IMPROVING THE QUALITY OF MAMMOGRAPHIC INTERPRETATIONU01CA063731 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM · 1994 to 2011
$6.7M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
UTILITY AND OUTCOMES FROM MAMMOGRAPHY IN NORTH CAROLINAU01CA070040 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YANKASKAS, BONNIE C · 1995 to 2011
$6.4M
San Francisco Mammography Registry-A Research SourceU01CA063740 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KERLIKOWSKE, KARLA M · 1994 to 2011
$6.2M
Modeling Effective Health Policies for Colorectal CancerU01CA152959 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2010 to 2014
$5.4M
Modeling prostate cancer control: prevention, screening, treatment, followup careU01CA157224 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DE KONING, HARRY J, ETZIONI, RUTH D · 2010 to 2014
$5.3M
PCPT and SELECT cohorts: Core Infrastructure Support for Cancer Research UM1CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2013 to 2017
$5.2M
STRATEGIC STUDIES IN BREAST CANCER SURVEILLANCEU01CA086082 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2000 to 2011
$4.9M
NCI NIH HHS K05 CA096940NCI NIH HHS K05CA96940NCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA063731NCI NIH HHS U01 CA063736NCI NIH HHS U01 CA063740NCI NIH HHS U01 CA069976NCI NIH HHS U01 CA070013NCI NIH HHS U01 CA070040NCI NIH HHS U01 CA086076NCI NIH HHS U01 CA086082NCI NIH HHS U01 CA088283NCI NIH HHS U01CA088283NCI NIH HHS U01 CA097426NCI NIH HHS U01CA097426NCI NIH HHS U01 CA115953NCI NIH HHS U01CA115953NCI NIH HHS U01 CA152958NCI NIH HHS U01CA152958NCI NIH HHS U01 CA152959NCI NIH HHS U01CA152959NCI NIH HHS U01 CA157224NCI NIH HHS U01CA157224NCI NIH HHS UM1 CA182883
6 · The paper itself

Abstract

backgroundHarms and benefits of cancer screening depend on age and comorbid conditions, but reliable estimates are lacking.

objectiveTo estimate the harms and benefits of cancer screening by age and comorbid conditions to inform decisions about screening cessation.

designCollaborative modeling with 7 cancer simulation models and common data on average and comorbid condition level-specific life expectancy.

settingU.S. population. PATIENTS: U.S. cohorts aged 66 to 90 years in 2010 with average health or 1 of 4 comorbid condition levels: none, mild, moderate, or severe.

interventionMammography, prostate-specific antigen testing, or fecal immunochemical testing. MEASUREMENTS: Lifetime cancer deaths prevented and life-years gained (benefits); false-positive test results and overdiagnosed cancer cases (harms). For each comorbid condition level, the age at which harms and benefits of screening were similar to that for persons with average health having screening at age 74 years.

resultsScreening 1000 women with average life expectancy at age 74 years for breast cancer resulted in 79 to 96 (range across models) false-positive results, 0.5 to 0.8 overdiagnosed cancer cases, and 0.7 to 0.9 prevented cancer deaths. Although absolute numbers of harms and benefits differed across cancer sites, the ages at which to cease screening were consistent across models and cancer sites. For persons with no, mild, moderate, and severe comorbid conditions, screening until ages 76, 74, 72, and 66 years, respectively, resulted in harms and benefits similar to average-health persons. LIMITATION: Comorbid conditions influenced only life expectancy.

conclusionComorbid conditions are an important determinant of harms and benefits of screening. Estimates of screening benefits and harms by comorbid condition can inform discussions between providers and patients about personalizing screening cessation decisions. PRIMARY FUNDING SOURCE: National Cancer Institute and Centers for Disease Control and Prevention.

Indexed as

Precision MedicineAgedAged, 80 and overAge FactorsBreast NeoplasmsColorectal NeoplasmsComorbidityEarly Detection of CancerFemaleHumansKallikreinsMaleMammographyModels, BiologicalOccult BloodProstate-Specific AntigenKallikreinsKLK3 protein, humanProstate-Specific Antigen

Identifiers

PMID25023249
PMCPMC4160041

What OpenQuestion holds

Textmetadata
LicenceTDM
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.