Evidence map›Paper›PMID 37688462›Full record

SynthesisGenetics in medicine : official journal of the American College of Medical Genetics2024

Systematic evidence review and meta-analysis of outcomes associated with cancer genetic counseling.

Julie O Culver, Nicole L Bertsch, Raluca N Kurz, Linda L Cheng, Mary Pritzlaff, Smita K Rao, Shannon M Stasi, Christopher D Stave, Ravi N Sharaf

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Genetics in medicine : official journal of the American College of Medical Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 8 institutions in 1 country.

Julie O CulverUSC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA. Electronic address: jculver@med.usc.edu.
Nicole L BertschThe Community Health Clinic, Topeka, IN.
Raluca N KurzCharles R. Drew University of Medicine and Science, Los Angeles, CA.
Linda L ChengQuest Diagnostics Nichols Institute, San Juan Capistrano, CA.
Mary PritzlaffAmbry Genetics, Aliso Viejo, CA.
Smita K RaoGeneXsure LLC, Nashville, TN.
Shannon M StasiSeattle Children's Hospital, Seattle, WA.
Christopher D StaveStanford University School of Medicine, Stanford, CA.
Ravi N SharafDivision of Gastroenterology, Department of Medicine and Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY.
Ambry Genetics (United States) · USCharles R. Drew University of Medicine and Science · USCornell University · USGenex Systems (United States) · USQuest Diagnostics (United States) · USSeattle Children's Hospital · USStanford University · USUniversity of Southern California · US

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

purposeGenetic counseling (GC) is standard of care in genetic cancer risk assessment (GCRA). A rigorous assessment of the data reported from published studies is crucial to ensure the evidence-based implementation of GC.

methodsWe conducted a systematic review and meta-analysis of 17 patient-reported and health-services-related outcomes associated with pre- and post-test GC in GCRA in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology.

resultsTwenty-five of 5393 screened articles met inclusion criteria. No articles reporting post-test GC outcomes met inclusion criteria. For patient-reported outcomes, pre-test GC significantly decreased worry, increased knowledge, and decreased perceived risk but did not significantly affect patient anxiety, depression, decisional conflict, satisfaction, or intent to pursue genetic testing. For health-services outcomes, pre-test GC increased correct genetic test ordering, reduced inappropriate services, increased spousal support for genetic testing, and expedited care delivery but did not consistently improve cancer prevention behaviors nor lead to accurate risk assessment. The GRADE certainty in the evidence was very low or low. No included studies elucidated GC effect on mortality, cascade testing, cost-effectiveness, care coordination, shared decision making, or patient time burden.

conclusionThe true impact of GC on relevant outcomes is not known low quality or absent evidence. Although a meta-analysis found that pre-test GC had beneficial effects on knowledge, worry, and risk perception, the certainty of this evidence was low according to GRADE methodology. Further studies are needed to support the evidence-based application of GC in GCRA.

Indexed as

Genetic CounselingNeoplasmsGenetic TestingHumansCancer geneticsGenetic counselingGRADEHealth servicesOutcomesPRISMA

Identifiers

PMID37688462
PMCPMC11981685
OpenAlexW4386484363

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.