Evidence map›Paper›PMID 32675743›Full record

Observational studyTransplantation2020

Preoperative Stratification of Liver Transplant Recipients: Validation of the LTRS.

Michele Molinari, Dana Jorgensen, Subhashini Ayloo, Stalin Dharmayan, Christof Kaltenmeier, Rajil B Mehta, Naudia Jonassaint

Open access · greenAbstract readObservational StudyValidation Study
In one paragraph

Observational study in Transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

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

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Michele MolinariDepartment of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Dana JorgensenDivision of Biostatistics, University of Pittsburgh Medical Center, Pittsburgh, PA.
Subhashini AylooDepartment of Surgery, Rutgers University, New Jersey Medical School, Newark, NJ.
Stalin DharmayanDepartment of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Christof KaltenmeierDepartment of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Rajil B MehtaDepartment of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA.
Naudia JonassaintDepartment of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA.
University of Pittsburgh Medical Center · USRutgers, The State University of New Jersey · US

Funding

Postdoctoral Research Training in Biotherapy of CancerT32CA113263 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Udai S Kammula · 2006 to 2026
$3.6M
NCI NIH HHS T32 CA113263
6 · The paper itself

Abstract

backgroundThe liver transplant risk score (LTRS) was developed to stratify 90-day mortality of patients referred for liver transplantation (LT). We aimed to validate the LTRS using a new cohort of patients.

methodsThe LTRS stratifies the risk of 90-day mortality of LT recipients based on their age, body mass index, diabetes, model for end-stage liver disease (MELD) score, and need for dialysis. We assessed the performance of the LTRS using a new cohort of patients transplanted in the United States between July 2013 and June 2017. Exclusion criteria were age <18 years, ABO incompatibility, redo or multivisceral transplants, partial grafts, malignancies other than hepatocellular carcinoma and fulminant hepatitis.

resultsWe found a linear correlation between the number of points of the LTRS and 90-day mortality. Among 18 635 recipients, 90-day mortality was 2.7%, 3.8%, 5.2%, 4.8%, 6.7%, and 9.3% for recipients with 0, 1, 2, 3, 4, and ≥5 points (P < 0.001). The LTRS also stratified 1-year mortality that was 5.5%, 7.7%, 9.9%, 9.3%, 10.8%, and 15.4% for 0, 1, 2, 3, 4, and ≥5 points (P < 0.001). An inverse correlation was found between the LTRS and 4-year survival that was 82%, 79%, 78%, 82%, 78%, and 66% for patients with 0, 1, 2, 3, 4, and ≥5 points (P < 0.001). The LTRS remained an independent predictor after accounting for recipient sex, ethnicity, cause of liver disease, donor age, cold ischemia time, and waiting time.

conclusionsThe LTRS can stratify the short- and long-term outcomes of LT recipients at the time of their evaluations irrespective of their gender, ethnicity, and primary cause of liver disease.

Indexed as

Decision Support TechniquesHealth Status IndicatorsAgedFemaleHumansLiver DiseasesLiver TransplantationMaleMiddle AgedPredictive Value of TestsRegistriesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsTime Factors

Identifiers

PMID32675743
PMCPMC8015433
OpenAlexW3043319873

What OpenQuestion holds

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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.