Evidence map›Paper›PMID 35464875›Full record

ArticleTransplantation direct2022

Textbook Outcome as a Quality Metric in Liver Transplantation.

Austin D Schenk, Jing L Han, April J Logan, Jeffrey M Sneddon, Guy N Brock, Timothy M Pawlik, William K Washburn

Abstract read
In one paragraph

Article in Transplantation direct, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Austin D SchenkDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH.
Jing L HanDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH.
April J LoganDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH.
Jeffrey M SneddonDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH.
Guy N BrockDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH.
Timothy M PawlikDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH.
William K WashburnDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality in liver transplantation (LT) is currently measured using 1-y patient and graft survival. Because patient and graft survival rates now exceed 90%, more informative metrics are needed. Textbook outcomes (TOs) describe ideal patient outcomes after surgery. This study critically evaluates TO as a quality metric in LT. Methods: United Network for Organ Sharing data for 25 887 adult LT recipients were used to define TO as patient and graft survival >1 y, length of stay ≤10 d, 0 readmissions within 6 mo, absence of rejection, and bilirubin <3 mg/dL between months 2 and 12 post-LT. Univariate analysis identified donor and recipient characteristics associated with TO. Covariates were analyzed using purposeful selection to construct a multivariable model, and impactful variables were incorporated as linear predictors into a nomogram. Five-year conditional survival was tested, and center TO rates were corrected for case complexity to allow for center-level comparisons. Results: The national average TO rate is 37.4% (95% confidence interval, 36.8%-38.0%). The hazard ratio for death at 5 y for patients who do not experience TO is 1.22 (95% confidence interval, 1.11-1.34; Conclusions: The composite quality metric of TO after LT incorporates holistic outcome measures and is an important measure of quality in addition to 1-y patient and graft survival.

Identifiers

PMID35464875
PMCPMC9018997

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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.