Evidence map›Paper›PMID 32892294›Full record

ArticleUpdates in surgery2021

The role of the comprehensive complication index for the prediction of survival after liver transplantation.

Quirino Lai, Fabio Melandro, Greg Nowak, Daniele Nicolini, Samuele Iesari, Elisa Fasolo, Gianluca Mennini, Antonio Romano, Federico Mocchegiani, Kevin Ackenine and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in Updates in surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03723317 (Associated Balance of Risk Score - Comprehensive Complication Index for the Prediction of Long-term Survival After Liver Transplantation), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT03723317 completednot on this map

Associated Balance of Risk Score - Comprehensive Complication Index for the Prediction of Long-term Survival After Liver Transplantation

TypeobservationalSponsorEuropean Hepatocellular Cancer Liver Transplant GroupRan2018 to 2018Enrolled1,782ConditionsLiver Cirrhosis, Liver Failure, Liver Diseases, Transplant FailureArmsLiver transplantation
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. [Research Updates: Standardized Reporting and Evaluation Instruments for Postoperative Complications].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022
    Review
  12. 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

19 authors.

Quirino LaiGeneral Surgery and Organ Transplantation Unit, Department of Surgery, Sapienza University of Rome, Umberto I Polyclinic of Rome, Viale del Policlinico 155, 00161, Rome, Italy. lai.quirino@libero.it.ORCID http://orcid.org/0000-0003-1487-3235
Fabio MelandroGeneral Surgery and Organ Transplantation Unit, Department of Surgery, Sapienza University of Rome, Umberto I Polyclinic of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
Greg NowakDivision of Transplantation Surgery, Karolinska University Hospital Huddinge, Solna, Sweden.
Daniele NicoliniUnit of Hepatobiliary Surgery and Transplantation, Polytechnic University of Marche, Azienda Ospedaliero-Universitaria "Ospedali Riuniti" Torrette, Ancona, Italy.
Samuele IesariStarzl Unit of Abdominal Transplantation, Pôle de Chirurgie Expérimentale et Transplantation, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.
Elisa FasoloDepartment of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.
Gianluca MenniniGeneral Surgery and Organ Transplantation Unit, Department of Surgery, Sapienza University of Rome, Umberto I Polyclinic of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
Antonio RomanoDivision of Transplantation Surgery, Karolinska University Hospital Huddinge, Solna, Sweden.
Federico MocchegianiUnit of Hepatobiliary Surgery and Transplantation, Polytechnic University of Marche, Azienda Ospedaliero-Universitaria "Ospedali Riuniti" Torrette, Ancona, Italy.
Kevin AckenineStarzl Unit of Abdominal Transplantation, Pôle de Chirurgie Expérimentale et Transplantation, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.
Marina PolaccoDepartment of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.
Laura MarinelliUnit of Hepatobiliary Surgery and Transplantation, Polytechnic University of Marche, Azienda Ospedaliero-Universitaria "Ospedali Riuniti" Torrette, Ancona, Italy.
Olga CiccarelliStarzl Unit of Abdominal Transplantation, Pôle de Chirurgie Expérimentale et Transplantation, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.
Giacomo ZanusDepartment of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.
Marco VivarelliUnit of Hepatobiliary Surgery and Transplantation, Polytechnic University of Marche, Azienda Ospedaliero-Universitaria "Ospedali Riuniti" Torrette, Ancona, Italy.
Umberto CilloDepartment of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.
Massimo RossiGeneral Surgery and Organ Transplantation Unit, Department of Surgery, Sapienza University of Rome, Umberto I Polyclinic of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
Bo-Göran EriczonDivision of Transplantation Surgery, Karolinska University Hospital Huddinge, Solna, Sweden.
Jan LerutStarzl Unit of Abdominal Transplantation, Pôle de Chirurgie Expérimentale et Transplantation, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last years, several scoring systems based on pre- and post-transplant parameters have been developed to predict early post-LT graft function. However, some of them showed poor diagnostic abilities. This study aims to evaluate the role of the comprehensive complication index (CCI) as a useful scoring system for accurately predicting 90-day and 1-year graft loss after liver transplantation. A training set (n = 1262) and a validation set (n = 520) were obtained. The study was registered at https://www.ClinicalTrials.gov (ID: NCT03723317). CCI exhibited the best diagnostic performance for 90 days in the training (AUC = 0.94; p < 0.001) and Validation Sets (AUC = 0.77; p < 0.001) when compared to the BAR, D-MELD, MELD, and EAD scores. The cut-off value of 47.3 (third quartile) showed a diagnostic odds ratio of 48.3 and 7.0 in the two sets, respectively. As for 1-year graft loss, CCI showed good performances in the training (AUC = 0.88; p < 0.001) and validation sets (AUC = 0.75; p < 0.001). The threshold of 47.3 showed a diagnostic odds ratio of 21.0 and 5.4 in the two sets, respectively. All the other tested scores always showed AUCs < 0.70 in both the sets. CCI showed a good stratification ability in terms of graft loss rates in both the sets (log-rank p < 0.001). In the patients exceeding the CCI ninth decile, 1-year graft survival rates were only 0.7% and 23.1% in training and validation sets, respectively. CCI shows a very good diagnostic power for 90-day and 1-year graft loss in different sets of patients, indicating better accuracy with respect to other pre- and post-LT scores.Clinical Trial Notification: NCT03723317.

Indexed as

Graft SurvivalLiver TransplantationResearch DesignAdultEnd Stage Liver DiseaseFemaleGraft RejectionHumansMaleMiddle AgedPredictive Value of TestsPrimary Graft DysfunctionTime FactorsAllograft dysfunctionGraft survivalMELDRetransplantationSurvival prediction

Identifiers

PMID32892294
PMCPMC7889667

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Registered trials

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.