Evidence map›Paper›PMID 30520321›Full record

ArticleCell transplantation2019

Validation of a New North American Islet Donor Score for Donor Pancreas Selection and Successful Islet Isolation in a Medium-Volume Islet Transplant Center.

Justyna E Gołębiewska, Piotr J Bachul, Ling-Jia Wang, Sabrina Matosz, Lindsay Basto, Mark R Kijek, Natalie Fillman, Karolina Gołąb, Martin Tibudan, Alicja Dębska-Ślizień and 3 more

Abstract read
In one paragraph

Article in Cell transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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

13 authors.

Justyna E Gołębiewska1 Department of Surgery, University of Chicago, Chicago, IL, USA.ORCID 0000-0001-5346-8369
Piotr J Bachul1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Ling-Jia Wang1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Sabrina Matosz1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Lindsay Basto1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Mark R Kijek1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Natalie Fillman1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Karolina Gołąb1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Martin Tibudan1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Alicja Dębska-Ślizień2 Department of Nephrology, Transplantology and Internal Medicine, Medical University of Gdańsk, Gdańsk, Poland.
J Michael Millis1 Department of Surgery, University of Chicago, Chicago, IL, USA.
John Fung1 Department of Surgery, University of Chicago, Chicago, IL, USA.
Piotr Witkowski1 Department of Surgery, University of Chicago, Chicago, IL, USA.ORCID 0000-0002-4459-6673

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Raghavendra G Mirmira · 2013 to 2026
$20.9M
NIDDK NIH HHS P30 DK020595
6 · The paper itself

Abstract

The selection of optimal pancreas donors is one of the key factors in determining the ultimate outcome of clinical islet isolation. North American Islet Donor Score (NAIDS) allows for estimating the chance of the success of islet isolation. It was developed based on the data from over 1000 donors from 11 islet isolation centers and validated in the University of Alberta, Edmonton, on the cohort from the most active islet transplant center. Now we aimed to also validate it in our much less active program. Areas under the receiver operating characteristic curves (AUROCs) and logistic regression analyses were obtained to test if NAIDS would better predict successful islet isolation (defined as post-purification islet yield >400,000 islet equivalents (IEQ)) than previously described Edmonton islet donor score (IDS) and our modified version of IDS. We analyzed the donor scores with reference to 82 of our islet isolation outcomes. The success rate increased proportionally as NAIDS increased, from 0% success in NAIDS < 50 points to 40% success in NAIDS ≥ 80 points. AUROCs were 0.67 (95% confidence interval (CI) 0.55-0.79) for NAIDS, 0.58 (95% CI 0.44-0.71) for modified IDS, and 0.51 (95% CI 0.37-0.65) for IDS and did not differ significantly. However, based on logistic regression analyses, NAIDS was the only statistically significant predictor of successful isolation (p = 0.01). The main advantage of NAIDS is an enhanced ability to discriminate poor-quality donors than previously used scoring systems at University of Chicago, with 0% chance for success when NAIDS was <50 as compared with 40% success rate for IDS <50. NAIDS was found to be the most useful available tool for donor pancreas selection in clinical and research practice in our center, allowing for identification and rejection of poor-quality donors, saving time and resources.

Indexed as

AdultDonor SelectionHumansIslets of Langerhans TransplantationLogistic ModelsNorth AmericaPancreasislet isolationscoring system

Identifiers

PMID30520321
PMCPMC6362524

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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.