Evidence map›Paper›PMID 37874756›Full record

ArticleOncology nursing forum2023

Describing Self-Advocacy in Underrepresented Women With Advanced Cancer.

Sarah Bell, Rachel Bergeron, Patricia Jo Murray, Shena Gazaway, Teresa Hagan Thomas

Open access · greenAbstract read
In one paragraph

Article in Oncology nursing forum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Sarah BellUniversity of Pittsburgh Medical Center Magee-Womens Hospital.
Rachel BergeronUniversity of Pittsburgh.
Patricia Jo MurrayUniversity of Pittsburgh.
Shena GazawayUniversity of Alabama.
Teresa Hagan ThomasUniversity of Pittsburgh.
Magee-Womens Hospital · US

Funding

Extension of STRONG Study to Expand Intervention ImpactR37CA262025 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Teresa Hagan Thomas · 2021 to 2026
$3.7M
NCI NIH HHS R37 CA262025
6 · The paper itself

Abstract

purposeTo describe the self-advocacy experiences of women from underrepresented groups who have advanced breast or gynecologic cancer. PARTICIPANTS &

settingTo be eligible for the study, participants had to self-identify as vulnerable, which was defined as a member of a group considered at risk for poor cancer outcomes and underrepresented in clinical research. METHODOLOGIC APPROACH: This descriptive, longitudinal, qualitative study consisted of one-on-one interviews of women within three months of an advanced breast or gynecologic cancer diagnosis.

findings10 participants completed 25 interviews. The average age of participants was 60.2 years (range = 38-75 years). Three major themes emerged: (a) speaking up and speaking out, (b) interacting with the healthcare team, and (c) relying on support from others. IMPLICATIONS FOR NURSING: Women with advanced cancer who are from underrepresented groups self-advocated in unique ways, learning over time the importance of how to communicate their needs and manage their healthcare team. Future research should incorporate these findings into tailored self-advocacy interventions.

Indexed as

Breast NeoplasmsGenital Neoplasms, FemaleAdultAgedFemaleHumansLongitudinal StudiesMiddle AgedQualitative Researchbreast cancergynecologic cancerself-advocacyunderrepresented group

Identifiers

PMID37874756
PMCPMC11195808
OpenAlexW4387930765

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.