Evidence map›Paper›PMID 33247983›Full record

ArticleClinical transplantation2021

Toward telemedicine-compatible physical functioning assessments in kidney transplant candidates.

Daniel J Watford, Xingxing S Cheng, Jialin Han, Margaret R Stedman, Glenn M Chertow, Jane C Tan

Abstract read
In one paragraph

Article in Clinical transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Frailty in CKD and Transplantation.Kidney international reports · 2021
    Review
  8. Article
  9. 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

6 authors.

Daniel J WatfordDivision of Nephrology, Department of Medicine, Stanford University Medical Center, Palo Alto, CA, USA.ORCID 0000-0001-7711-0740
Xingxing S ChengDivision of Nephrology, Department of Medicine, Stanford University Medical Center, Palo Alto, CA, USA.ORCID 0000-0002-0542-8749
Jialin HanDivision of Nephrology, Department of Medicine, Stanford University Medical Center, Palo Alto, CA, USA.ORCID 0000-0001-5731-8974
Margaret R StedmanDivision of Nephrology, Department of Medicine, Stanford University Medical Center, Palo Alto, CA, USA.ORCID 0000-0001-9271-8332
Glenn M ChertowDivision of Nephrology, Department of Medicine, Stanford University Medical Center, Palo Alto, CA, USA.ORCID 0000-0002-7599-0534
Jane C TanDivision of Nephrology, Department of Medicine, Stanford University Medical Center, Palo Alto, CA, USA.ORCID 0000-0002-3169-2148

Funding

Mentoring Patient-Oriented Clinical Investigators in NephrologyK24DK085446 · NIDDK · STANFORD UNIVERSITY · PI CHERTOW, GLENN MATTHEW · 2010 to 2022
$1.4M
Refining repeat screening for coronary artery disease in kidney transplant candidatesK23DK123410 · NIDDK · STANFORD UNIVERSITY · PI CHENG, XINGXING SHELLEY · 2020 to 2024
$826k
NIDDK NIH HHS K23 DK123410NIDDK NIH HHS K24 DK085446
6 · The paper itself

Abstract

Frailty is associated with adverse kidney transplant outcomes and can be assessed by subjective and objective metrics. There is increasing recognition of the value of metrics obtainable remotely. We compared the self-reported SF-36 physical functioning subscale score (SF-36 PF) with in-person physical performance tests (6-min walk and sit-to-stand) in a prospective cohort of kidney transplant candidates. We assessed each metric's ability to predict time to the composite outcome of waitlist removal or death, censoring at transplant. We built time-dependent receiver operating characteristic curves and calculated the area under the curve [AUC(t)] at 1 year, using bootstrapping for internal validation. In 199 patients followed for a median of 346 days, 41 reached the composite endpoint. Lower SF-36 PF scores were associated with higher risk of waitlist removal/death, with every 10-point decrease corresponding to a 16% increase in risk. All models showed an AUC(t) of 0.83-0.84 that did not contract substantially after internal validation. Among kidney transplant candidates, SF-36 PF, obtainable remotely, can help to stratify the risk of waitlist removal or death, and may be used as a screening tool for poor physical functioning in ongoing candidate evaluation, particularly where travel, increasing patient volume, or other restrictions challenge in-person assessment.

Indexed as

Kidney TransplantationTelemedicineHumansProspective StudiesWaiting ListsWalkingpatient characteristicsrecipient selectionrisk assessmentrisk stratificationwaitlist management

Identifiers

PMID33247983
PMCPMC7906942

What OpenQuestion holds

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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.