Evidence map›Paper›PMID 41799607›Full record

ArticleAnnals of gastroenterological surgery2026

Increase in Pancreatoduodenectomy Volume at Mid-Volume Facilities in the United States: A National Cancer Database Analysis.

Koichi Tomita, Naruhiko Ikoma

Abstract read
In one paragraph

Article in Annals of gastroenterological surgery, 2026. 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

2 authors.

Koichi TomitaDepartment of Surgical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA.ORCID https://orcid.org/0000-0003-2484-6548
Naruhiko IkomaDepartment of Surgical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA.ORCID https://orcid.org/0000-0002-9825-9234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The annual number of pancreatoduodenectomies (PDs) in the United States has increased over the past decade, but the facility types driving this growth and whether outcomes have improved remain unclear. We aimed to identify characteristics of facilities with increasing PD volumes and assess national trends in centralization. Materials and Methods: We queried the National Cancer Database to identify PD cases from 2011 to 2020. We categorized facilities by average annual PD volume (low [< 5 cases/year], medium [5-19], and high [≥ 20]) and compared changes in surgical outcomes and other factors over time across facility categories. We used logistic regression to identify factors associated with increasing annual PD volume. Results: We identified 41 147 PD cases from 810 facilities (589 low-, 171 medium-, 50 high-volume). Overall, the annual PD volume rose from 3217 in 2011 to 4355 in 2020. The increase was primarily due to medium-volume facilities, which performed 903 more cases in 2020 than in 2011 (a 71% increase). Surgical outcomes improved over time across all facility categories, but outcomes at low- and medium-volume facilities remained inferior to those at high-volume facilities. Among medium-volume facilities, the adoption of minimally invasive PD and a higher proportion of PDs for advanced-stage disease were associated with increasing volume. Conclusion: Medium-volume facilities accounted for most of the recent growth in PD volume in the United States but continued to demonstrate less favorable outcomes than high-volume centers. These findings underscore the importance of continued efforts to promote the outcome-driven centralization of PD to improve surgical outcomes.

Indexed as

CentralizationFacility volumeMinimally invasive surgeryNational Cancer DatabasePancreatoduodenectomy

Identifiers

PMID41799607
PMCPMC12962042

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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.