Evidence map›Paper›PMID 34253338›Full record

ArticleAmerican journal of surgery2022

Machine perfusion of kidney allografts affects early but not late graft function.

Navdeep Singh, April Logan, Austin Schenk, Ginny Bumgardner, Guy Brock, Ashraf El-Hinnawi, Amer Rajab, Kenneth Washburn

Open access · greenAbstract read
In one paragraph

Article in American journal of surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Evaluation of kidney procurement biopsy and machine perfusion on allograft outcomes: A retrospective cohort study of the Organ Procurement and Transplantation Network database.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026
    Article
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  5. Article
  6. Article
  7. Review
  8. 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

8 authors at 1 institution in 1 country.

Navdeep SinghDivision of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA. Electronic address: navdeep.singh@osumc.edu.
April LoganDivision of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Austin SchenkDivision of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Ginny BumgardnerDivision of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Guy BrockDivision of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Ashraf El-HinnawiDivision of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Amer RajabDivision of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Kenneth WashburnDivision of Transplantation, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
The Ohio State University Wexner Medical Center · US

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
NCATS NIH HHS UL1 TR002733
6 · The paper itself

Abstract

backgroundHypothermic machine perfusion (HMP) parameters are influenced by donor variables which further affect recipient outcome. Interplay between these parameters can help to predict kidney performance on pump and the long term outcome.

methodsAll the kidneys transplanted at our center between May 2013 through November 2017 were included in the study. Donor and recipient data was obtained from internal database. Multiple logistic regression models with backward selection were used to determine significant donor and pump variables.

resultsDonor BMI, KDPI, age and donor sex had a significant association with pump flow. Donor sex, donor type, KDPI and age had significant effect on RI. Diastolic pressure and KDPI were significantly associated with DGF. Duration on pump, KDPI, flow, donor creatinine and type of donor were significantly associated with day 5 creatinine. KDPI was significantly associated with Day 365 creatinine.

conclusionHMP effects early graft function while the long term function depends on donor parameters.

Indexed as

Delayed Graft FunctionKidney TransplantationAllograftsCreatinineGraft SurvivalHumansKidneyOrgan PreservationPerfusionTissue DonorsCreatinineDonor variablesHypothermic machine perfusionPump variables

Identifiers

PMID34253338
PMCPMC9017432
OpenAlexW3182448382

What OpenQuestion holds

Textmetadata
LicenceTDM
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.