Evidence map›Paper›PMID 31628561›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2020

Variation in receipt of therapy and survival with provider volume for medical oncology in non-curative esophago-gastric cancer: a population-based analysis.

Julie Hallet, Laura E Davis, Alyson L Mahar, Ying Liu, Victoria Zuk, Vaibhav Gupta, Craig C Earle, Natalie G Coburn

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Geographic impact on access to care and survival for non-curative esophagogastric cancer: a population-based study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2021
    Article
  4. Economic impacts of care by high-volume providers for non-curative esophagogastric cancer: a population-based analysis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2020
    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

8 authors at 5 institutions in 1 country.

Julie HalletDivision of Surgical Oncology, Odette Cancer Centre-Sunnybrook Health Sciences Centre, 2075 Bayview avenue, T2-063, Toronto, ON, M4N 3M5, Canada. Julie.hallet@sunnybrook.ca.
Laura E DavisSunnybrook Research Institute, Toronto, ON, Canada.
Alyson L MaharDepartment of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Ying LiuICES, Toronto, ON, Canada.
Victoria ZukSunnybrook Research Institute, Toronto, ON, Canada.
Vaibhav GuptaDepartment of Surgery, University of Toronto, Toronto, ON, Canada.
Craig C EarleICES, Toronto, ON, Canada.
Natalie G CoburnDivision of Surgical Oncology, Odette Cancer Centre-Sunnybrook Health Sciences Centre, 2075 Bayview avenue, T2-063, Toronto, ON, M4N 3M5, Canada.
Sunnybrook Health Science Centre · CASunnybrook Hospital · CAHealth Sciences Centre · CAUniversity of Manitoba · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile surgical care by high-volume providers for esophago-gastric cancer (EGC) yields better outcomes, volume-outcome relationships are unknown for systemic therapy. We examined receipt of therapy and outcomes in the non-curative management of EGC based on medical oncology provider volume.

methodsWe conducted a population based retrospective cohort study of non-curative EGC over 2005-2017 by linking administrative healthcare datasets. The volume of new EGC consultations per medical oncology provider per year was calculated and divided into quintiles. High-volume (HV) medical oncologists were defined as the 4-5th quintiles. Outcomes were receipt of chemotherapy and overall survival (OS). Multivariate logistic and Cox-proportional hazards regressions examined the association between management by HV medical oncologist, receipt of systemic therapy, and OS.

results7011 EGC patients with non-curative management consulted with medical oncology. 1-year OS was superior for HV medical oncologists (> 11 patients/year), with 28.4% (95% CI 26.7-30.2%) compared to 25.1% (95% CI 23.8-26.3%) for low volume (p < 0.001). After adjusting for age, sex, comorbidity burden, rurality, income quintile, and diagnosis year, HV medical oncologist was independently associated with higher odds of receiving chemotherapy (OR 1.13, 95% CI 1.01-1.26), and independently associated with superior OS (HR 0.89, 95% CI 0.84-0.93).

conclusionsMedical oncology provider volume was associated with variation in non-curative management and outcomes of EGC. Care by an HV medical oncologist was independently associated with higher odds of receiving chemotherapy and superior OS, after adjusting for case mix. This information is important to inform disease care pathways and care organization; an increase in the number of HV medical oncologists may reduce variation and improve outcomes.

Indexed as

AgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsEsophageal NeoplasmsFemaleFollow-Up StudiesHospitals, High-VolumeHumansInsurance CoverageInsurance, HealthMaleMiddle AgedOncologistsPrognosisProspective StudiesQuality of Health CareCancerEsophagusOutcomesStomachVolume

Identifiers

PMID31628561
OpenAlexW2980796010

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.