Evidence map›Paper›PMID 33175437›Full record

ArticleCancer2021

Patient-reported causes of distress predict disparities in time to evaluation and time to treatment after breast cancer diagnosis.

Oluwadamilola M Fayanju, Yi Ren, Ilona Stashko, Steve Power, Madeline J Thornton, P Kelly Marcom, Terry Hyslop, E Shelley Hwang

Abstract read
In one paragraph

Article in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Patient-Reported Distress in Individuals With Head and Neck Cancer.JAMA otolaryngology-- head & neck surgery · 2025
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  13. Psychometric properties of the perceived stress scale (pss-10) with breast cancer patients.Stress and health : journal of the International Society for the Investigation of Stress · 2023
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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

8 authors.

Oluwadamilola M FayanjuDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-0876-975X
Yi RenBiostatistics Shared Resource, Duke Cancer Institute, Durham, North Carolina.
Ilona StashkoBiostatistics Shared Resource, Duke Cancer Institute, Durham, North Carolina.
Steve PowerDepartment of Quality and Outcomes, Duke Cancer Institute, Durham, North Carolina.
Madeline J ThorntonDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.
P Kelly MarcomWomen's Cancer Program, Duke Cancer Institute, Durham, North Carolina.
Terry HyslopBiostatistics Shared Resource, Duke Cancer Institute, Durham, North Carolina.
E Shelley HwangDepartment of Surgery, Duke University Medical Center, Durham, North Carolina.

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Using Modifiable Risk Factors to Predict Inferior Care and Survival after Breast Cancer Diagnosis: A Novel Approach to Addressing Health DisparitiesK08CA241390 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FAYANJU, OLUWADAMILOLA M. · 2019 to 2023
$1.1M
NCI NIH HHS K08 CA241390NCI NIH HHS P30 CA014236
6 · The paper itself

Abstract

backgroundWe examined whether the National Comprehensive Cancer Network distress thermometer (DT), a patient-reported outcome measure, could be used to identify levels and causes of distress associated with racial/ethnic disparities in time to care among patients with breast cancer.

methodsWe identified women aged ≥18 years with stage 0-IV breast cancer who were diagnosed in a single health system between January 2014 and July 2016. The baseline visit was defined as the first postdiagnosis, pretreatment clinical evaluation. Zero-inflated negative binomial (ZINB) regression (modeling non-zero DT scores and DT scores = 0) and logistic regression (modeling DT score ≥ 4, threshold for social services referral) were used to examine associations between baseline score (0 = none to 10 = extreme) and types of stressors (emotional, familial, practical, physical, spiritual) after adjustment for race/ethnicity and other characteristics. Linear regression with log transformation was used to identify predictors of time to evaluation and time to treatment.

resultsA total of 1029 women were included (median baseline DT score = 4). Emotional, physical, and practical stressors were associated with distress in both the ZINB and logistic models (all P < .05). Black patients (n = 258) were more likely to report no distress than Whites (n = 675; ZINB zero model odds ratio, 2.72; 95% CI, 1.68-4.40; P < .001) despite reporting a similar number of stressors (P = .07). Higher DT scores were associated with shorter time to evaluation and time to treatment while being Black and having physical or practical stressors were associated with delays in both (all P < .05).

conclusionsPatient-reported stressors predicted delays in time to care, but patient-reported levels of distress did not, with Black patients having delayed time to care despite reporting low levels of distress. We describe anticipatory, culturally responsive strategies for using patient-reported outcomes to address observed disparities.

Indexed as

Psychological DistressTime-to-TreatmentAdultAgedBreast NeoplasmsFemaleHumansMiddle Agedbreast cancerdistresshealth disparitiesmodifiable risk factorspatient-reported outcomesrace/ethnicity

Identifiers

PMID33175437
PMCPMC7897266

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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.