Evidence map›Paper›PMID 33083117›Full record

ArticlePeerJ2020

Comparison of pediatric scoring systems for mortality in septic patients and the impact of missing information on their predictive power: a retrospective analysis.

Christian Niederwanger, Thomas Varga, Tobias Hell, Daniel Stuerzel, Jennifer Prem, Magdalena Gassner, Franziska Rickmann, Christina Schoner, Daniela Hainz, Gerard Cortina and 3 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.9field-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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  16. Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias.medRxiv : the preprint server for health sciences · 2024
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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

13 authors at 3 institutions in 2 countries.

Christian NiederwangerDepartment of Pediatrics, Pediatrics I, Medical University of Innsbruck, Innsbruck, Austria.
Thomas VargaInstitute of Anaesthesiology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.
Tobias HellDepartment of Mathematics, Faculty of Mathematics, Computer Science and Physics, University of Innsbruck, Innsbruck, Austria.
Daniel StuerzelDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Jennifer PremDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Magdalena GassnerDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Franziska RickmannDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Christina SchonerDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Daniela HainzDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Gerard CortinaDepartment of Pediatrics, Pediatrics I, Medical University of Innsbruck, Innsbruck, Austria.
Benjamin HetzerDepartment of Pediatrics, Pediatrics I, Medical University of Innsbruck, Innsbruck, Austria.
Benedikt TremlDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Mirjam BachlerDepartment of General and Surgical Critical Care Medicine, Medical University of Innsbruck, Innsbruck, Austria.
Universität Innsbruck · ATInnsbruck Medical University · ATUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScores can assess the severity and course of disease and predict outcome in an objective manner. This information is needed for proper risk assessment and stratification. Furthermore, scoring systems support optimal patient care, resource management and are gaining in importance in terms of artificial intelligence.

objectiveThis study evaluated and compared the prognostic ability of various common pediatric scoring systems (PRISM, PRISM III, PRISM IV, PIM, PIM2, PIM3, PELOD, PELOD 2) in order to determine which is the most applicable score for pediatric sepsis patients in terms of timing of disease survey and insensitivity to missing data.

methodsWe retrospectively examined data from 398 patients under 18 years of age, who were diagnosed with sepsis. Scores were assessed at ICU admission and re-evaluated on the day of peak C-reactive protein. The scores were compared for their ability to predict mortality in this specific patient population and for their impairment due to missing data.

resultsPIM (AUC 0.76 (0.68-0.76)), PIM2 (AUC 0.78 (0.72-0.78)) and PIM3 (AUC 0.76 (0.68-0.76)) scores together with PRSIM III (AUC 0.75 (0.68-0.75)) and PELOD 2 (AUC 0.75 (0.66-0.75)) are the most suitable scores for determining patient prognosis at ICU admission. Once sepsis is pronounced, PELOD 2 (AUC 0.84 (0.77-0.91)) and PRISM IV (AUC 0.8 (0.72-0.88)) become significantly better in their performance and count among the best prognostic scores for use at this time together with PRISM III (AUC 0.81 (0.73-0.89)). PELOD 2 is good for monitoring and, like the PIM scores, is also largely insensitive to missing values.

conclusionOverall, PIM scores show comparatively good performance, are stable as far as timing of the disease survey is concerned, and they are also relatively stable in terms of missing parameters. PELOD 2 is best suitable for monitoring clinical course.

Indexed as

ChildrenCritical careMissing dataMortality scoresSepsis

Identifiers

PMID33083117
PMCPMC7543722
OpenAlexW3092427673

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.