Evidence map›Paper›PMID 34113716›Full record

ArticleTransplantation direct2021

Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates.

Rhea A Varughese, Olga Theou, Yanhong Li, Xiaojin Huang, Noori Chowdhury, Olusegun Famure, Nazia Selzner, Jane MacIver, Sunita Mathur, S Joseph Kim and 2 more

Abstract read
In one paragraph

Article in Transplantation direct, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Development of the Lung Transplant Frailty Scale (LT-FS).The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2023
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

12 authors.

Rhea A VarugheseAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Olga TheouDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Yanhong LiAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Xiaojin HuangAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Noori ChowdhuryAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Olusegun FamureAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Nazia SelznerAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Jane MacIverAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Sunita MathurDepartment of Physical Therapy, University of Toronto, Toronto, Ontario, Canada.
S Joseph KimAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Kenneth RockwoodDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Lianne G SingerAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite comprehensive multidisciplinary candidacy assessments to determine appropriateness for solid organ transplantation, limitations persist in identifying candidates at risk of adverse outcomes. Frailty measures may help inform candidacy evaluation. Our main objective was to create a solid organ transplant frailty index (FI), using the cumulative deficits model, from data routinely collected during candidacy assessments. Secondary objectives included creating a social vulnerability index (SVI) from assessment data and evaluating associations between the FI and assessment, waitlist, and posttransplant outcomes.

methodsIn this retrospective cohort study of solid organ transplant candidates from Toronto General Hospital, cumulative deficits FI and SVI were created from data collected during candidacy evaluations for consecutive kidney, heart, liver, and lung transplant candidates. Regression modeling measured associations between the FI and transplant listing, death or removal from the transplant waitlist, and survival after waitlist placement.

resultsFor 794 patients, 40 variable FI and 10 variable SVI were created (258 lung, 222 kidney, 201 liver, and 113 heart transplant candidates). The FI correlated with assessment outcomes; patients with medical contraindications (mean FI 0.35 ± 0.10) had higher FI scores than those listed (0.29 ± 0.09),

conclusionsA cumulative deficits FI can be derived from routine organ transplant candidacy evaluations and may identify candidates at higher risk of adverse outcomes.

Identifiers

PMID34113716
PMCPMC8183975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.