Evidence map›Paper›PMID 40632944›Full record

Observational studyDiabetes care2025

Predictors of Diabetes Outcomes at 1 Year After Islet Autotransplantation: Data From a Multicenter Cohort Study.

Piotr Witkowski, Anne Eaton, Sydney Porter, Maisam Abu-El-Haija, Syed A Ahmad, Sri Prakash Mokshagundam, Martin Wijkstrom, Bashoo Naziruddin, Guru Trikudanathan, Vikesh K Singh and 15 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Diabetes care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Piotr WitkowskiUniversity of Chicago, Chicago, IL.
Anne EatonUniversity of Minnesota School of Public Health, Minneapolis, MN.
Sydney PorterUniversity of Minnesota School of Public Health, Minneapolis, MN.
Maisam Abu-El-HaijaCincinnati Children's Hospital Medical Center, Cincinnati, OH.
Syed A AhmadUniversity of Cincinnati, Cincinnati, OH.
Sri Prakash MokshagundamUniversity of Louisville, Louisville, KY.
Martin WijkstromUniversity of Pittsburgh Medical Center, Pittsburgh, PA.
Bashoo NaziruddinBaylor Health, Dallas, TX.
Guru TrikudanathanUniversity of Minnesota Medical School, Minneapolis, MN.
Vikesh K SinghJohns Hopkins Medical Institutions, Baltimore, MD.
Sarah J SchwarzenbergUniversity of Minnesota Medical School, Minneapolis, MN.
Timothy L PruettUniversity of Minnesota Medical School, Minneapolis, MN.
Andrew PosseltUniversity of California, San Francisco, San Francisco, CA.
Jaimie D NathanNationwide Children's Hospital, Columbus, OH.
Katherine MorganThe Medical University of South Carolina, Charleston, SC.
Luis F LaraThe Ohio State University Wexner Medical Center, Columbus, OH.
Timothy B GardnerDartmouth-Hitchcock Medical Center, Lebanon, NH.
Martin FreemanUniversity of Minnesota Medical School, Minneapolis, MN.
Mayha FaghihJohns Hopkins Medical Institutions, Baltimore, MD.
Elissa M DownsUniversity of Minnesota Medical School, Minneapolis, MN.
Srinath ChinnakotlaUniversity of Minnesota Medical School, Minneapolis, MN.
Appakalai N BalamuruganUniversity of Louisville, Louisville, KY.
David AdamsThe Medical University of South Carolina, Charleston, SC.
Gregory J BeilmanUniversity of Minnesota Medical School, Minneapolis, MN.
Melena D BellinUniversity of Minnesota Medical School, Minneapolis, MN.ORCID 0000-0002-7324-4837

Funding

Advancing Treatment for Pancreatitis: A Prospective Observational Study of TPIATR01DK109124 · NIDDK · UNIVERSITY OF MINNESOTA · PI BELLIN, MELENA D. · 2016 to 2021
$4.0M
NIDDK NIH HHS R01 DK109124NIDDK NIH HHS R01-DK109124NIDDK NIH HHS R01-DK138809
6 · The paper itself

Abstract

objectiveTotal pancreatectomy with islet autotransplantation (TPIAT) may relieve pain for patients with intractable recurrent acute or chronic pancreatitis. In this first multicenter cohort study of TPIAT, we aimed to identify predictors of favorable diabetes outcomes following TPIAT to aid in surgical counseling and decision making. RESEARCH DESIGN AND

methodsWe included 384 patients (mean [SD] age 29.6 [17.1] years; 61.7% female) who underwent TPIAT and were enrolled in the National Institutes of Health-sponsored multicenter Prospective Observational Study of TPIAT (POST). Outcomes were reported for insulin use, HbA1c, and islet graft function. Univariable and multivariable modeling was performed to evaluate predictors of diabetes outcomes after TPIAT.

resultsAt 1 year post-TPIAT, 83% of patients retained islet function (C-peptide >0.3 ng/mL), 20% were off insulin, and 60% had HbA1c <7%. Outcomes were most favorable in those with normoglycemia pre-TPIAT and in children. In multivariable analysis, insulin independence at 1 year was associated with pediatric age (odds ratio [OR] 2.3 [95% CI 1.3-4.3] vs. adults) and pretransplant HbA1c (OR 4.0 [1.7-9.1] per 1% decrease HbA1c). The odds of achieving a goal HbA1c <7% was associated with White race (OR 4.3 [1.7-11]) and pre-TPIAT HbA1c (OR 2.2 [1.1-4.3] per 1% decrease). Islet graft function was associated with pre-TPIAT fasting C-peptide (OR 2.18 [1.42-3.35] per 1 ng/mL increase) and baseline HbA1c (OR 1.89 [1.18-3] per 1% decrease).

conclusionsPatients with normoglycemia and children more often were off insulin. In multivariable models, pre-TPIAT HbA1c was strongly predictive of insulin independence, islet function, and HbA1c <7% at 1 year.

Indexed as

Diabetes MellitusIslets of Langerhans TransplantationAdolescentAdultChildCohort StudiesFemaleGlycated HemoglobinHumansInsulinMaleMiddle AgedPancreatectomyProspective StudiesTransplantation, AutologousTreatment OutcomeGlycated HemoglobinInsulin

Identifiers

PMID40632944
PMCPMC13053875

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.