Evidence map›Paper›PMID 38144498›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2023

e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation.

Viniyendra Pamecha, Nilesh Sadashiv Patil, Tharun Gattu, Guresh Kumar, Bramhadatta Pattnaik, Nihar Mohapatra, Gaurav Sindwani, Ashok Choudhury

Open access · goldAbstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 3 countries.

Viniyendra PamechaFrom the Liver Transplant and Hepato-Pancreato-Biliary Surgery.
Nilesh Sadashiv PatilFrom the Liver Transplant and Hepato-Pancreato-Biliary Surgery.
Tharun GattuFrom the Liver Transplant and Hepato-Pancreato-Biliary Surgery.
Guresh KumarBiostatistics.
Bramhadatta PattnaikFrom the Liver Transplant and Hepato-Pancreato-Biliary Surgery.
Nihar MohapatraFrom the Liver Transplant and Hepato-Pancreato-Biliary Surgery.
Gaurav SindwaniAnaesthesiology.
Ashok ChoudhuryHepatology, Institute of Liver and Biliary Sciences, New Delhi, India.
Cancer Research And Biostatistics · USEuropean Society of Anaesthesiology · BEInstitute of Liver and Biliary Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to analyze risk factors and develop a predictive model for early allograft loss due to early graft dysfunction (EGD) in adult live-donor liver transplantation (LDLT). Methods: Data of patients who underwent LDLT from 2011 to 2019 were reviewed for EGD, associated factors, and outcomes. A homogeneous group of 387 patients was analyzed: random cohort A (n = 274) for primary analysis and random cohort B (n = 113) for validation. Results: Of 274 recipients, 92 (33.6%) developed EGD. The risk of graft loss within 90 days was 29.3% and 7.1% in those with and without EGD, respectively ( Conclusions: Our novel risk score can efficiently predict early allograft loss following graft dysfunction, which enables donor-recipient matching, evaluation, and prognostication simply and reliably in adult LDLT.

Indexed as

donor agegraft lossgraft weightlive-donor liver transplantationMELD

Identifiers

PMID38144498
PMCPMC10735097
OpenAlexW4387451537

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.