Evidence map›Paper›PMID 29693229›Full record

ArticleBreast cancer research and treatment2018

Physician peer group characteristics and timeliness of breast cancer surgery.

Jacqueline Bachand, Pamela R Soulos, Jeph Herrin, Craig E Pollack, Xiao Xu, Xiaomei Ma, Cary P Gross

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Breast Cancer Disparities and the COVID-19 Pandemic.Current breast cancer reports · 2022
    Review
  6. Article
  7. Article
  8. 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

7 authors at 3 institutions in 1 country.

Jacqueline BachandDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Pamela R SoulosCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale School of Medicine, New Haven, CT, USA.
Jeph HerrinCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale School of Medicine, New Haven, CT, USA.
Craig E PollackJohns Hopkins School of Medicine, Baltimore, MD, USA.
Xiao XuCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale School of Medicine, New Haven, CT, USA.
Xiaomei MaDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Cary P GrossCancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale School of Medicine, New Haven, CT, USA. cary.gross@yale.edu.ORCID http://orcid.org/0000-0002-4974-935X
Yale Cancer Center · USJohns Hopkins University · USYale University · US

Funding

Impact of Social contagion on Physician use of unproven cancer interventionsR01CA190017 · NCI · YALE UNIVERSITY · PI GROSS, CARY P. · 2014 to 2017
$2.2M
NCI NIH HHS N01 PC035136NCI NIH HHS N01 PC035139NCI NIH HHS N02 PC015105NCI NIH HHS R01 CA190017NCI NIH HHS R01CA190017
6 · The paper itself

Abstract

purposeLittle is known about how the structure of interdisciplinary groups of physicians affects the timeliness of breast cancer surgery their patients receive. We used social network methods to examine variation in surgical delay across physician peer groups and the association of this delay with group characteristics.

methodsWe used linked Surveillance, Epidemiology, and End Results-Medicare data to construct physician peer groups based on shared breast cancer patients. We used hierarchical generalized linear models to examine the association of three group characteristics, patient racial composition, provider density (the ratio of potential vs. actual connections between physicians), and provider transitivity (clustering of providers within groups), with delayed surgery.

resultsThe study sample included 8338 women with breast cancer in 157 physician peer groups. Surgical delay varied widely across physician peer groups (interquartile range 28.2-50.0%). For every 10% increase in the percentage of black patients in a peer group, there was a 41% increase in the odds of delayed surgery for women in that peer group regardless of a patient's own race [odds ratio (OR) 1.41, 95% confidence interval (CI) 1.15-1.73]. Women in physician peer groups with the highest provider density were less likely to receive delayed surgery than those in physician peer groups with the lowest provider density (OR 0.65, 95% CI 0.44-0.98). We did not find an association between provider transitivity and delayed surgery.

conclusionsThe likelihood of surgical delay varied substantially across physician peer groups and was associated with provider density and patient racial composition.

Indexed as

Peer GroupPhysiciansAgedAged, 80 and overBreast NeoplasmsComorbidityFemaleHumansMastectomyNeoplasm StagingPublic Health SurveillanceRetrospective StudiesSEER ProgramSocioeconomic FactorsTime-to-TreatmentBreast cancer careNetwork densityNetwork transitivitySurgery delay

Identifiers

PMID29693229
PMCPMC6048589
OpenAlexW2801359679

What OpenQuestion holds

Textmetadata
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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.