Evidence map›Paper›PMID 35242980›Full record

ArticleGynecologic oncology reports2022

Room for improvement in capturing cancer family history in a gynecologic oncology outpatient setting.

Jenny Lin, Isabel Wolfe, Muhammad Danyal Ahsan, Hannah Krinsky, Andreas I Lackner, Joe Pelt, Karen Bolouvi, Charlotte Gamble, Charlene Thomas, Paul J Christos and 7 more

Abstract read
In one paragraph

Article in Gynecologic oncology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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

17 authors.

Jenny LinWeill Cornell Medicine, United States.
Isabel WolfeWeill Cornell Medicine, United States.
Muhammad Danyal AhsanWeill Cornell Medicine, United States.
Hannah KrinskyWeill Cornell Medicine, United States.
Andreas I LacknerWeill Cornell Medicine, United States.
Joe PeltWeill Cornell Medicine, United States.
Karen BolouviWeill Cornell Medicine, United States.
Charlotte GambleWeill Cornell Medicine, United States.
Charlene ThomasWeill Cornell Medicine, United States.
Paul J ChristosWeill Cornell Medicine, United States.
Evelyn CantilloWeill Cornell Medicine, United States.
Kevin HolcombWeill Cornell Medicine, United States.
Eloise Chapman-DavisWeill Cornell Medicine, United States.
Ravi SharafWeill Cornell Medicine, United States.
Steven M LipkinWeill Cornell Medicine, United States.
Stephanie V BlankIcahn School of Medicine at Mount Sinai, Blavatnik Family Women's Health Research Institute, United States.
Melissa K FreyWeill Cornell Medicine, United States.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Institutional Career Development CoreKL2TR002385 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI YUAN-SHAN ZHU · 2017 to 2026
$13.3M
Implementing Universal Lynch Syndrome Screening across Multiple Healthcare Systems: Identifying Strategies to Facilitate and Maintain Programs in Different Organizational ContextsR01CA211723 · NCI · GEISINGER CLINIC · PI RAHM, ALANNA K · 2017 to 2021
$3.7M
Gene Dependent Cancer Risk and Optimal Cancer Prevention Strategies in Lynch SyndromeK07CA216326 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHARAF, RAVI · 2018 to 2021
$675k
NCATS NIH HHS KL2 TR002385NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NCI NIH HHS K07 CA216326NCI NIH HHS R01 CA211723
6 · The paper itself

Abstract

The literature demonstrates that the quality of cancer family history (CFH) as currently collected in the outpatient setting is inadequate to assess disease risk. Prior to implementation of a web-based application for cancer family history collection, we aimed to review the quality of collected CFH in a gynecologic oncology outpatient clinic and determine contributing patient factors. Medical records were reviewed for 200 new patients presenting between 4/2019-7/2019. CFH was collected during the patient interview and evaluated for inclusion of eight elements based on standards set by the genetics community. Univariate and multivariable linear regression analyses were utilized to evaluate the effect of patient characteristics on the number of relatives included in the CFH. Among our cohort of 200 patients, CFH was documented for 185 patients (92.5%). On univariate analysis, patients with a family history of cancer and prior genetic testing had significantly greater median number of relatives included in the CFH. On multivariable analysis, patients with family members with cancer had significantly more relatives included. Our data are consistent with the literature, suggesting that the current collection methods may not adequately capture all measures of a high quality CFH. Patients reporting no family history of cancer and those without prior genetic testing were least likely to have CFH that included key quality elements and these patients might benefit from health information technology CFH collection tools.

Indexed as

Cancer family historyGenetic testingMedical history takingMedical recordsPedigree

Identifiers

PMID35242980
PMCPMC8861387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.