Evidence map›Paper›PMID 34618014›Full record

ArticleHealth & social work2021

Family Identity and Roles in the Context of Li-Fraumeni Syndrome: "No One's Like Us Mutants".

Catherine Wilsnack, Jennifer L Young, Shana L Merrill, Victoria Groner, Jennifer T Loud, Renee C Bremer, Mark H Greene, Payal P Khincha, Allison Werner-Lin

Open access · greenAbstract read
In one paragraph

Article in Health & social work, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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.

Catherine Wilsnack
Jennifer L Young
Shana L Merrill
Victoria Groner
Jennifer T Loud
Renee C Bremer
Mark H Greene
Payal P Khincha
Allison Werner-Lin

Funding

The Stanford Training Program in ELSI ResearchT32HG008953 · NHGRI · STANFORD UNIVERSITY · PI Mildred K. Cho, Meghan Halley · 2016 to 2026
$3.1M
NHGRI NIH HHS T32 HG008953
6 · The paper itself

Abstract

Li-Fraumeni syndrome (LFS) is a rare hereditary cancer syndrome in which individuals have a significantly increased risk of developing multiple cancers throughout the life span. An LFS diagnosis may shift the individual's sense of self and tolerance of cancer risk as they engage in cancer screening and cancer prevention activities. This study examined the impact of family identity on health decision making, communication, and role function. Forty-five families completed one or more interviews during an annual, protocol-specific cancer screening study. An interdisciplinary team analyzed 66 interviews using interpretive description and modified grounding theory. Thematically, identity emerged as an evolving construct regarding self and/or family, embedded in historical and ongoing experiences with LFS. Notions of individual and shared family identities guided decision making related to healthcare and influenced interpersonal communication and role function between supportive networks and families. Alignment between individual, family, and generational identities may shape engagement in genetic testing, risk management, and family life. Medical teams that are unequipped to address the psychosocial challenges that LFS populations face may include mental health professionals on interprofessional care teams to navigate risk management and consequential familial conflict.

Indexed as

Li-Fraumeni SyndromeEarly Detection of CancerHealth PersonnelHumansMass Screeningcancerdecision makingfamily identityfamily rolesLi-Fraumeni syndrome

Identifiers

PMID34618014
PMCPMC8783604
OpenAlexW3204090867

What OpenQuestion holds

Textmetadata
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.