Evidence map›Paper›PMID 23272081›Full record

SynthesisPloS one2012

Prediction of poor outcome in patients with acute liver failure-systematic review of prediction models.

Kama A Wlodzimirow, Saeid Eslami, Robert A F M Chamuleau, Martin Nieuwoudt, Ameen Abu-Hanna

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Profiles of miRNAs in serum in severe acute drug induced liver injury and their prognostic significance.Liver international : official journal of the International Association for the Study of the Liver · 2017
    Article
  13. Development of a Model to Predict Transplant-free Survival of Patients With Acute Liver Failure.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2016
    Article
  14. Overview on acute-on-chronic liver failure.Frontiers of medicine · 2016
    Review
  15. Observational
  16. Article
  17. Acute liver failure and liver transplantation.Intractable & rare diseases research · 2013
    Review
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 3 countries.

Kama A WlodzimirowDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. k.a.wlodzimirow@amc.uva.nl
Saeid Eslami
Robert A F M Chamuleau
Martin Nieuwoudt
Ameen Abu-Hanna
Academic Medical Center · NLNational Research Foundation · ZAUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute liver failure is a rare disease with high mortality and liver transplantation is the only life saving therapy. Accurate prognosis of ALF is crucial for proper intervention.

aimTo identify and characterize newly developed prognostic models of mortality for ALF patients, assess study quality, identify important variables and provide recommendations for the development of improved models in the future.

methodsThe online databases MEDLINE® (1950-2012) and EMBASE® (1980-2012) were searched for English-language articles that reported original data from clinical trials or observational studies on prognostic models in ALF patients. Studies were included if they developed a new model or modified existing prognostic models. The studies were evaluated based on an existing framework for scoring the methodological and reporting quality of prognostic models.

resultsTwenty studies were included, of which 18 reported on newly developed models, 1 on modification of the Kings College Criteria (KCC) and 1 on the Model for End-Stage Liver Disease (MELD). Ten studies compared the newly developed models to previously existing models (e.g. KCC); they all reported that the new models were superior. In the 12-point methodological quality score, only one study scored full points. On the 38-point reporting score, no study scored full points. There was a general lack of reporting on missing values. In addition, none of the studies used performance measures for calibration and accuracy (e.g. Hosmer-Lemeshow statistics, Brier score), and only 5 studies used the AUC as a measure of discrimination.

conclusionsThere are many studies on prognostic models for ALF but they show methodological and reporting limitations. Future studies could be improved by better reporting and handling of missing data, the inclusion of model calibration aspects, use of absolute risk measures, explicit considerations for variable selection, the use of a more extensive set of reference models and more thorough validation.

Indexed as

AlgorithmsArea Under CurveCalibrationFemaleGastroenterologyHumansLiver Failure, AcuteMaleModels, StatisticalPredictive Value of TestsProbabilityPrognosisReproducibility of ResultsRiskSeverity of Illness IndexTreatment Outcome

Identifiers

PMID23272081
PMCPMC3522683
OpenAlexW1976451939

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.