Evidence map›Paper›PMID 27795991›Full record

ArticleTransplantation direct2016

Donor Characteristics of Pancreas Transplantation in Australia and New Zealand: A Cohort Study 1984-2014.

Xi Alex Peng, Patrick J Kelly, William R Mulley, Henry Pleass, Helen Pilmore, Angela C Webster

Open access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

6 authors at 3 institutions in 1 country.

Xi Alex PengSydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
Patrick J KellySydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
William R MulleyCentre for Transplant and Renal Research, Westmead Hospital, Westmead, NSW, Australia.; Department of Nephrology, Monash Medical Centre, Clayton, Victoria, Australia.
Henry PleassCentre for Inflammatory Diseases, Department of Medicine, Monash University, Clayton, Victoria, Australia.
Helen PilmoreDepartment of Renal Medicine, Auckland City Hospital, Grafton, Auckland, New Zealand.; Department of Medicine, Auckland University, Grafton, Auckland, New Zealand.
Angela C WebsterSydney School of Public Health, University of Sydney, Sydney, NSW, Australia.; Centre for Inflammatory Diseases, Department of Medicine, Monash University, Clayton, Victoria, Australia.
The University of Sydney · AUMonash Medical Centre · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to audit the characteristics of pancreas donors over time in Australia and New Zealand. Pancreas transplantation was introduced in Australian and New Zealand in 1984.

methodsWe analyzed data from the Australia and New Zealand Islet and Pancreas Transplant Registry, 1984 to 2014. We investigated the variation of donor characteristics of sex, age, body mass index, smoking status, blood group, multiple organ donation, cytomegalovirus status, terminal creatinine, hypertension, and cause of death for pancreas transplantation over time. We used χ

resultsThere were 628 pancreas donors from 1984 to 2014. Donor body mass index (from 21.9 to 24.0,

conclusionsMany donor characteristics have changed over time. The most significant changes appear to reflect changes in the general population, rather than changes in donor selection.

Identifiers

PMID27795991
PMCPMC5068205
OpenAlexW2511429225

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.