Evidence map›Paper›PMID 24113514›Full record

ArticleTransplantation2014

Functional status and survival after kidney transplantation.

Peter P Reese, Roy D Bloom, Justine Shults, Arwin Thomasson, Adam Mussell, Sylvia E Rosas, Kirsten L Johansen, Peter Abt, Matthew Levine, Arthur Caplan and 2 more

Open access · greenAbstract read
In one paragraph

Article in Transplantation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  17. Frailty in CKD and Transplantation.Kidney international reports · 2021
    Review
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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

12 authors at 2 institutions in 1 country.

Peter P Reese1 Renal-Electrolyte and Hypertension Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. 2 Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. 3 Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA. 4 Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA. 5 Department of Biostatistics, University of Pennsylvania, Philadelphia, PA. 6 Philadelphia Veteran Affairs Medical Center, Philadelphia, PA. 7 Division of Nephrology, University of California-San Francisco, San Francisco, CA. 8 Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. 9 Division of Medical Ethics, New York University, New York, NY. 10 Division of Geriatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA. 11 Address correspondence to: Peter P. Reese, M.D., M.S.C.E., Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, 917 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104.
Roy D Bloom
Justine Shults
Arwin Thomasson
Adam Mussell
Sylvia E Rosas
Kirsten L Johansen
Peter Abt
Matthew Levine
Arthur Caplan
Harold I Feldman
Jason Karlawish
University of Pennsylvania · USUniversity of California, San Francisco · US

Funding

DRUG COMPLIANCE, RACE AND KIDNEY ALLOGRAFT SURVIVALK24DK002651 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, HAROLD I · 1999 to 2010
$1.4M
Age, functional status, and survival benefit from kidney transplantationR01DK090388 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI REESE, PETER PHILIP · 2011 to 2014
$1.0M
NIDDK NIH HHS K24 DK002651NIDDK NIH HHS R01 DK090388NIDDK NIH HHS R01-DK090388-01A1
6 · The paper itself

Abstract

backgroundOlder patients constitute a growing proportion of U.S. kidney transplant recipients and often have a high burden of comorbidities. A summary measure of health such as functional status might enable transplant professionals to better evaluate and counsel these patients about their prognosis after transplant.

methodsWe linked United Network for Organ Sharing registry data about posttransplantation survival with pretransplantation functional status data (physical function [PF] scale of the Medical Outcomes Study Short Form-36) among individuals undergoing kidney transplant from June 1, 2000 to May 31, 2006. We examined the relationship between survival and functional status with multivariable Cox regression, adjusted for age. Using logistic regression models for 3-year survival, we also estimated the reduction in deaths in the hypothetical scenario that recipients with poor functional status in this cohort experienced modest improvements in function.

resultsThe cohort comprised 10,875 kidney transplant recipients with a mean age of 50 years; 14% were ≥65. Differences in 3-year mortality between highest and lowest PF groups ranged from 3% among recipients <35 years to 14% among recipients ≥65 years. In multivariable Cox regression, worse PF was associated with higher mortality (hazard ratio, 1.66 for lowest vs. highest PF quartiles; P<0.001). Interactions between PF and age were nonsignificant. We estimated that 11% fewer deaths would occur if kidney transplant recipients with the lowest functional status experienced modest improvements in function.

conclusionsAcross a wide age range, functional status was an independent predictor of posttransplantation survival. Functional status assessment may be a useful tool with which to counsel patients about posttransplantation outcomes.

Indexed as

AdultAgedAge FactorsCohort StudiesDelayed Graft FunctionFemaleHumansKidneyKidney TransplantationLiving DonorsLogistic ModelsMaleMiddle AgedProportional Hazards ModelsRetrospective Studies

Identifiers

PMID24113514
PMCPMC3946985
OpenAlexW2317142159

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.