Evidence map›Paper›PMID 38094130›Full record

ArticleTransplantation direct2024

Early Metabolic Measures Predict Long-term Insulin Independence in Recipients of Total Pancreatectomy and Islet Autotransplantation.

Yoshihide Nanno, James S Hodges, Martin L Freeman, Guru Trikudanathan, Sarah J Schwarzenberg, Elissa M Downs, Karthik Ramanathan, Timothy L Pruett, Gregory J Beilman, Srinath Chinnakotla and 2 more

Open access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 27% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

12 authors at 1 institution in 2 countries.

Yoshihide NannoDepartment of Surgery, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0002-9539-0560
James S HodgesDivision of Biostatistics, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0001-7467-6941
Martin L FreemanDepartment of Medicine, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0003-3383-5269
Guru TrikudanathanDepartment of Medicine, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0003-3661-4496
Sarah J SchwarzenbergDepartment of Pediatrics, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0001-5077-7625
Elissa M DownsDepartment of Pediatrics, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0001-5145-6903
Karthik RamanathanDepartment of Surgery, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0009-0005-7542-3969
Timothy L PruettDepartment of Surgery, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0002-0715-8535
Gregory J BeilmanDepartment of Surgery, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0001-5036-3027
Srinath ChinnakotlaSchulze Diabetes Institute, Department of Surgery, University of Minnesota School of Medicine, Minneapolis, MN.ORCID https://orcid.org/0000-0002-5443-1258
Bernhard J HeringDepartment of Surgery, University of Minnesota, Minneapolis, MN.ORCID https://orcid.org/0000-0002-5962-7284
Melena D BellinSchulze Diabetes Institute, Department of Surgery, University of Minnesota School of Medicine, Minneapolis, MN.ORCID https://orcid.org/0000-0002-7324-4837
University of Minnesota · US

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 DK109124
6 · The paper itself

Abstract

Background: Although diabetes after total pancreatectomy and islet autotransplantation (TP-IAT) is one of the biggest concerns for TP-IAT recipients and physicians, reliable prediction of post-TP-IAT glycemic control remains unestablished. This study was conducted to identify early predictors of insulin independence and goal glycemic control by hemoglobin A1c (HbA1c) ≤ 6.5% after TP-IAT. Methods: In this single-center, retrospective study, patients who underwent TP-IAT (n = 227) were reviewed for simple metabolic markers or surrogate indices of β-cell function obtained 3 mo after TP-IAT as part of standard clinical testing. Long-term metabolic success was defined as (1) insulin independence and (2) HbA1c ≤ 6.5% 1, 3, and 5 y after TP-IAT. Single- and multivariate modeling used 3-mo markers to predict successful outcomes. Results: Of the 227 recipients, median age 31 y, 30% male, 1 y after TP-IAT insulin independence, and HbA1c ≤ 6.5% were present in 39.6% and 72.5%, respectively. In single-predictor analyses, most of the metabolic markers successfully discriminated between those attaining and not attaining metabolic goals. Using the best model selected by random forests analysis, we accurately predicted 1-y insulin independence and goal HbA1c control in 77.3% and 86.4% of the patients, respectively. A simpler "clinically feasible" model using only transplanted islet dose and BETA-2 score allowed easier prediction at a small accuracy loss (74.1% and 82.9%, respectively). Conclusions: Metabolic testing measures performed 3 mo after TP-IAT were highly associated with later diabetes outcomes and provided a reliable prediction model, giving valuable prognostic insight early after TP-IAT and help to identify recipients who require early intervention.

Identifiers

PMID38094130
PMCPMC10715795
OpenAlexW4389609015

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.