Evidence map›Paper›PMID 42366181›Full record

ArticleCancer medicine2026

The Association Between Number of Hospital Advanced Practice Providers and Surgical Morbidity.

Christopher P Dall, Xiu Liu, Preeti Chachlani, Sarah J Leick, Kassem S Faraj, Arnav Srivastava, Samuel R Kaufman, Vahakn B Shahinian, Chad Ellimoottil, Brent K Hollenbeck

Abstract read
In one paragraph

Article in Cancer medicine, 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

10 authors.

Christopher P DallDepartment of Urology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Xiu LiuDepartment of Urology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Preeti ChachlaniDepartment of Urology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Sarah J LeickDepartment of Urology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Kassem S FarajDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-2130-0446
Arnav SrivastavaDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
Samuel R KaufmanDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
Vahakn B ShahinianDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
Chad EllimoottilDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
Brent K HollenbeckDow Division of Health Services Research, Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

Advanced Training in Urologic OncologyT32CA180984 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu, VAHAKN B SHAHINIAN · 2014 to 2026
$3.4M
NCI NIH HHS T32 CA180984NIH HHS HS028975
6 · The paper itself

Abstract

introductionStudies assessing the impact of advanced practice providers (APPs), including nurse practitioners and physician assistants, have demonstrated a similar quality of care for patients admitted to the hospital for medical diagnoses. However, no studies have examined the relationship between APP integration and morbidity after cancer surgery. This study assesses the relationship between APP staffing intensity and patient outcomes following major abdominal cancer surgery.

methodsWe used 100% national Medicare data (2010-2019) to assess the link between APP staffing intensity and surgical outcomes for patients undergoing major abdominal cancer surgery, including cystectomy, colectomy, hepatectomy, esophagectomy, gastrectomy, and pancreatectomy. The primary exposure was the ratio of APPs per 100 hospital beds, and patients were empirically divided into tertiles. Outcomes included readmission rates and length of stay, adjusted for patient and hospital level factors. As a secondary outcome, we measured 30-day perioperative mortality.

resultsWe analyzed 326,547 colectomy patients, 50,400 cystectomy patients, 14,112 esophagectomy patients, 27,152 gastrectomy patients, 15,225 hepatectomy patients, and 46,287 pancreatectomy patients. Surgery at centers with the most advanced practice providers per beds (i.e., the highest tertile) was associated with shorter length of stays for most surgery types analyzed. Unadjusted 30-day readmissions tended to be lower in patients undergoing more complex procedures, such as esophagectomy (21.5% vs. 24.3%; p = 0.006) but not for the less complex operations studied, such as colectomy (13.6% vs. 13.5%; p = 0.22). However, clinical differences in outcomes were lost on analyses controlling for patient and hospital factors (IRR length of stay: 0.98-1.01; p = 0.002-087) (OR readmissions: 0.86-1.01; p = 0.003-0.80).

conclusionsThe relationship between hospital APP staffing intensity and surgical outcomes was varied and heterogenous. However, differences in outcomes were primarily explained by hospital factors. More work is needed to determine process measures associated with the deployment of inpatient APPs.

Indexed as

Nurse PractitionersPhysician AssistantsPostoperative ComplicationsAgedAged, 80 and overFemaleHumansLength of StayMaleMedicarePatient ReadmissionUnited Statescancer surgerydischargelength of stayoutcomesreadmission

Identifiers

PMID42366181
PMCPMC13310654

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.