Evidence map›Paper›PMID 34836366›Full record

ArticleNutrients2021

Predicting Hospital Length of Stay at Admission Using Global and Country-Specific Competing Risk Analysis of Structural, Patient, and Nutrition-Related Data from nutritionDay 2007-2015.

Noemi Kiss, Michael Hiesmayr, Isabella Sulz, Peter Bauer, Georg Heinze, Mohamed Mouhieddine, Christian Schuh, Silvia Tarantino, Judit Simon

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–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.

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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
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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

9 authors.

Noemi KissDepartment of Health Economics, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria.
Michael HiesmayrnutritionDay Worldwide, 1090 Vienna, Austria.ORCID 0000-0003-4091-4424
Isabella SulznutritionDay Worldwide, 1090 Vienna, Austria.ORCID 0000-0003-1807-6292
Peter BauernutritionDay Worldwide, 1090 Vienna, Austria.
Georg HeinzeSection for Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-1147-8491
Mohamed MouhieddinenutritionDay Worldwide, 1090 Vienna, Austria.
Christian SchuhnutritionDay Worldwide, 1090 Vienna, Austria.
Silvia TarantinonutritionDay Worldwide, 1090 Vienna, Austria.
Judit SimonDepartment of Health Economics, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital length of stay (LOS) is an important clinical and economic outcome and knowing its predictors could lead to better planning of resources needed during hospitalization. This analysis sought to identify structure, patient, and nutrition-related predictors of LOS available at the time of admission in the global nutritionDay dataset and to analyze variations by country for countries with

Indexed as

Nutrition AssessmentAdolescentAdultAgedAged, 80 and overDiagnostic Tests, RoutineFemaleHospital MortalityHumansLength of StayMaleMiddle AgedNutritional StatusPatient AdmissionPredictive Value of TestsProportional Hazards Modelscompeting risksdieticiandischargehospitallength of staymortalitynutritionnutrition screeningsurveytransfer

Identifiers

PMID34836366
PMCPMC8624242

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.