Evidence map›Paper›PMID 39734715›Full record

ReviewClinics in colon and rectal surgery2025

Serving Those Who Served: Enhancing Colorectal Surgery Care for Veterans.

Austin Hewitt, Melanie Fritz, Cristina B Sanger

Abstract readReview
In one paragraph

Review in Clinics in colon and rectal surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Austin HewittDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Melanie FritzDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Cristina B SangerDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

Funding

UW Surgical Oncology Research Training Program (UW-SORT)T32CA090217 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Muhammed Murtaza, Heather B Neuman · 2001 to 2026
$8.3M
NCI NIH HHS T32 CA090217
6 · The paper itself

Abstract

The Department of Veterans Affairs (VA) is the largest provider of integrated health care services in the United States and its mission is to honor veterans by providing timely, effective, and high-quality health care that improves individuals' health and functionality. The VA provides comprehensive primary and specialty care, including colorectal surgery services, to eligible veterans who suffer from a disproportionately high burden of medical comorbidities and often belong to vulnerable populations, including individuals of low socioeconomic status, those who identify as lesbian, gay, bisexual, transgender, and questioning, racial minorities, and those suffering from severe mental health illness. There are many challenges to caring for a population of veterans with benign and malignant colorectal disease due to both patient and system level factors. Despite these challenges, the VA has demonstrated a commitment to ensuring culturally competent, equitable, and inclusive care and to conducting research that establishes evidence-based best practices in the management of colorectal diseases. These efforts have led to outcomes for patients undergoing care for colorectal diseases within the VA that are par with or better than civilian outcomes. The VA is uniquely positioned on a system level to provide nationwide efforts that improve care delivery and serve those who served.

Indexed as

colorectal surgeryoutcomesquality of careveteransvulnerable populations

Identifiers

PMID39734715
PMCPMC11679179

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.