Evidence map›Paper›PMID 31110531›Full record

ArticleArchives of medical science : AMS2019

Risk index for early infections following living donor liver transplantation.

Shaimaa Elkholy, Doaa Ahmed Mansour, SamahAbd El-Hamid, Ula M Al-Jarhi, Saeed M El-Nahaas, Sherif Mogawer

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2019. 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
0.4field-weighted citation impact, top 37% 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, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Role of Lymphopenia in Early prediction of Infection Following Orthotopic Liver Transplantation in Cirrhotic Patients.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    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

6 authors at 1 institution in 1 country.

Shaimaa ElkholyInternal Medicine Department, Gastroenterology Division, Faculty of Medicine, Cairo University, Cairo, Egypt.
Doaa Ahmed MansourGeneral Surgery Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
SamahAbd El-HamidClinical Pathology Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
Ula M Al-JarhiInternal Medicine Department, Gastroenterology Division, Faculty of Medicine, Cairo University, Cairo, Egypt.
Saeed M El-NahaasEndemic Medicine and Hepatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
Sherif MogawerInternal Medicine Department, Gastroenterology Division, Faculty of Medicine, Cairo University, Cairo, Egypt.
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPost-operative infections in patients undergoing living donor liver transplantation (LDLT) are a major cause of morbidity and mortality. This study aims to develop a practical and efficient prognostic index for early identification and possible prediction of post-transplant infections using risk factors identified by multivariate analysis. MATERIAL AND

methodsOne hundred patients with post-hepatitic cirrhosis, HCV positive, genotype 4, Child B/C or MELD score 13-25 undergoing LDLT were included. All potential predictors of infection were analyzed by backward logistic regression. Cut-off values were obtained from ROC curve analysis. Significant predictors were combined into a risk index, which was further tested and compared by ROC curve analysis.

resultsPost-operative infection was associated with a significantly higher mortality (50.7% vs. 33.3%). Total leucocyte count, total bilirubin, early biliary complications, fever and C-reactive protein were found to be independent predictors of early infectious complications after LDLT. The risk index predicted infection with the highest sensitivity and specificity as compared with each predictor on its own (AUC = 0.91, 95% CI: 0.830-0.955,

conclusionsThe use of a combined risk index for early diagnosis of post-operative infections can efficiently identify high risk patients.

Indexed as

infectionsliver transplantationliving donor

Identifiers

PMID31110531
PMCPMC6524199
OpenAlexW2946006890

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.