Evidence map›Paper›PMID 35608799›Full record

ArticleAnnals of surgical oncology2022

Rural-Urban Differences in Breast Cancer Surgical Delays in Medicare Beneficiaries.

Ronnie J Zipkin, Andrew Schaefer, Changzhen Wang, Andrew P Loehrer, Nirav S Kapadia, Gabriel A Brooks, Tracy Onega, Fahui Wang, Alistair J O'Malley, Erika L Moen

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

10 authors at 4 institutions in 1 country.

Ronnie J ZipkinDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Andrew SchaeferThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA.
Changzhen WangDepartment of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA.
Andrew P LoehrerThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA.
Nirav S KapadiaThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA.
Gabriel A BrooksThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA.
Tracy OnegaThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH, USA.
Fahui WangDepartment of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, USA.
Alistair J O'MalleyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Erika L MoenDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. Erika.L.Moen@Dartmouth.edu.
Dartmouth Institute for Health Policy and Clinical Practice · USDartmouth College · USLouisiana State University · USDartmouth–Hitchcock Medical Center · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Leila S. Agha · 2001 to 2026
$52.9M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2022
$23.7M
Improving cancer health equity by targeting physician networksR37CA263936 · NCI · DARTMOUTH COLLEGE · PI MOEN, ERIKA · 2021 to 2025
$2.3M
NCI NIH HHS P30 CA023108NCI NIH HHS R37 CA263936NIA NIH HHS P01 AG019783NIGMS NIH HHS P20 GM104416
6 · The paper itself

Abstract

backgroundDelays between breast cancer diagnosis and surgery are associated with worsened survival. Delays are more common in urban-residing patients, although factors specific to surgical delays among rural and urban patients are not well understood.

methodsWe used a 100% sample of fee-for-service Medicare claims during 2007-2014 to identify 238,491 women diagnosed with early-stage breast cancer undergoing initial surgery and assessed whether they experienced biopsy-to-surgery intervals > 90 days. We employed multilevel regression to identify associations between delays and patient, regional, and surgeon characteristics, both in combined analyses and stratified by rurality of patient residence.

resultsDelays were more prevalent among urban patients (2.5%) than rural patients (1.9%). Rural patients with medium- or high-volume surgeons had lower odds of delay than patients with low-volume surgeons (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.58-0.88; OR = 0.74, 95% CI = 0.61-0.90). Rural patients whose surgeon operated at ≥ 3 hospitals were more likely to experience delays (OR = 1.29, 95% CI = 1.01-1.64, Ref: 1 hospital). Patient driving times ≥ 1 h were associated with delays among urban patients only. Age, black race, Hispanic ethnicity, multimorbidity, and academic/specialty hospital status were associated with delays.

conclusionsSociodemographic, geographic, surgeon, and facility factors have distinct associations with > 90-day delays to initial breast cancer surgery. Interventions to improve timeliness of breast cancer surgery may have disparate impacts on vulnerable populations by rural-urban status.

Indexed as

Breast NeoplasmsMedicareAgedFemaleHispanic or LatinoHumansOdds RatioRural PopulationUnited States

Identifiers

PMID35608799
PMCPMC9128633
OpenAlexW4282925315

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.