Evidence map›Paper›PMID 20160272›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2010

Coherence and completeness of population-based family cancer reports.

Louise Wideroff, Anne O Garceau, Mark H Greene, Marsha Dunn, Timothy McNeel, Phuong Mai, Gordon Willis, Lou Gonsalves, Michael Martin, Barry I Graubard

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Health Care Segregation, Physician Recommendation, and Racial Disparities in BRCA1/2 Testing Among Women With Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2016
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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.

Louise WideroffNational Cancer Institute, Bethesda, Maryland, USA. wideroff@nih.gov
Anne O Garceau
Mark H Greene
Marsha Dunn
Timothy McNeel
Phuong Mai
Gordon Willis
Lou Gonsalves
Michael Martin
Barry I Graubard

Funding

Clinical Genetic Studies of Familial and Hereditary Cancer SyndromesZIACP010144 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SAVAGE, SHARON A. · 2009 to 2025
$111.8M
VALIDATION OF FAMILY HISTORY OF CANCER QUESTIONNAIREN01PC095039 · PC · WESTAT, INC. · PI DUNN, MARSHA · 1999 to 2001
$943k
Intramural NIH HHS Z99 DA999999Intramural NIH HHS ZIA CP010144NCI NIH HHS N01-PC-95039NCI NIH HHS N02 PC025001NCI NIH HHS N02-PC-25001
6 · The paper itself

Abstract

backgroundAlthough family history of cancer is widely ascertained in research and clinical care, little is known about assessment methods, accuracy, or other quality measures. Given its widespread use in cancer screening and surveillance, better information is needed about the clarity and accuracy of family history information reported in the general population.

methodsThis telephone survey in Connecticut examined coherence and completeness of reports from 1,019 respondents about 20,504 biological relatives.

resultsOf 2,657 cancer reports, 97.7% were judged consistent with malignancy (versus benign or indeterminate conditions); 79% were site specific, 10.1% had unspecified cancer sites, and 8.6% had "ill-defined" sites. Only 6.1% of relatives had unknown histories. Unknown histories and ambiguous sites were significantly higher for second-degree relatives. The adjusted percentage of first-degree relative reports with ambiguous sites increased with decreasing education and African-American race of survey respondents, and with deceased vital status of relatives. Ambiguous second-degree relative reports were also associated with deceased vital status and with male gender of respondents.

conclusionsThese findings suggest that family history of cancer reports from the general population are generally complete and coherent. IMPACT: Strategies are needed to improve site specificity and thus maximize the utility of such information in primary care settings.

Indexed as

AdultConnecticutFemaleGenetic Predisposition to DiseaseHumansInterviews as TopicMaleMedical History TakingMiddle AgedNeoplasmsPedigreeRegistries

Identifiers

PMID20160272
PMCPMC3102427

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.