Evidence map›Paper›PMID 32813058›Full record

ArticleSurgical endoscopy2021

Do specific operative approaches and insurance status impact timely access to colorectal cancer care?

Brian D Lo, George Q Zhang, Miloslawa Stem, Rebecca Sahyoun, Jonathan E Efron, Bashar Safar, Chady Atallah

Abstract read
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2021. 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
–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

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

  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

7 authors.

Brian D LoColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe St., Blalock 618, Baltimore, MD, 21205, USA.
George Q ZhangColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe St., Blalock 618, Baltimore, MD, 21205, USA.
Miloslawa StemColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe St., Blalock 618, Baltimore, MD, 21205, USA.
Rebecca SahyounColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe St., Blalock 618, Baltimore, MD, 21205, USA.
Jonathan E EfronColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe St., Blalock 618, Baltimore, MD, 21205, USA.
Bashar SafarColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe St., Blalock 618, Baltimore, MD, 21205, USA.
Chady AtallahColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe St., Blalock 618, Baltimore, MD, 21205, USA. catalla3@jhmi.edu.ORCID http://orcid.org/0000-0002-0623-6271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe increased use of minimally invasive surgery in the management of colorectal cancer has led to a renewed focus on how certain factors, such as insurance status, impact the equitable distribution of both laparoscopic and robotic surgery. Our goal was to analyze surgical wait times between robotic, laparoscopic, and open approaches, and to determine whether insurance status impacts timely access to treatment.

methodsAfter IRB approval, adult patients from the National Cancer Database with a diagnosis of colorectal cancer were identified (2010-2016). Patients who underwent radiation therapy, neoadjuvant chemotherapy, had wait times of 0 days from diagnosis to surgery, or had metastatic disease were excluded. Primary outcomes were days from cancer diagnosis to surgery and days from surgery to adjuvant chemotherapy. Multivariable Poisson regression analysis was performed.

resultsAmong 324,784 patients, 5.9% underwent robotic, 47.5% laparoscopic, and 46.7% open surgery. Patients undergoing robotic surgery incurred the longest wait times from diagnosis to surgery (29.5 days [robotic] vs. 21.7 [laparoscopic] vs. 17.2 [open], p < 0.001), but the shortest wait times from surgery to adjuvant chemotherapy (48.9 days [robotic] vs. 49.9 [laparoscopic] vs. 54.8 [open], p < 0.001). On adjusted analysis, robotic surgery was associated with a 1.46 × longer wait time to surgery (IRR 1.462, 95% CI 1.458-1.467, p < 0.001), but decreased wait time to adjuvant chemotherapy (IRR 0.909, 95% CI 0.905-0.913, p < 0.001) compared to an open approach. Private insurance was associated with decreased wait times to surgery (IRR 0.966, 95% CI 0.962-0.969, p < 0.001) and adjuvant chemotherapy (IRR 0.862, 95% CI 0.858-0.865, p < 0.001) compared to Medicaid.

conclusionThough patients undergoing robotic surgery experienced delays from diagnosis to surgery, they tended to initiate adjuvant chemotherapy sooner compared to those undergoing open or laparoscopic approaches. Private insurance was independently associated not only with access to robotic surgery, but also shorter wait times during all stages of treatment.

Indexed as

Colorectal NeoplasmsLaparoscopyRobotic Surgical ProceduresHumansInsurance CoverageRetrospective StudiesColorectal cancerColorectal surgeryInsuranceLaparoscopic surgeryRobotic surgical proceduresTreatment delay

Identifiers

PMID32813058

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.