Evidence map›Paper›PMID 40810829›Full record

ArticleIrish journal of medical science2025

Association between a high Modified Nutrition Risk in Critically Ill score and 30-day mortality in critically ill adults: A retrospective cohort study.

Begum Seyda Avci, Onder Yesiloglu, Abdullah Yildirim, Omer Genc, Yeliz Simsek, Ahmet Burak Urfalioglu, Erdem Aksay, Adnan Kuvvetli, Akkan Avci, Ramazan Guven and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Irish journal of medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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

11 authors.

Begum Seyda AvciDepartment of Internal Medicine, Adana City Research and Training Hospital, Health Science University, Adana, Turkey. begumtngnr@hotmail.com.ORCID http://orcid.org/0000-0001-6149-9341
Onder YesilogluEmergency Medicine Clinic, 25 Aralik State Hospital, Gaziantep, Turkey.
Abdullah YildirimDepartment of Cardiology, Adana City Research and Training Hospital, Health Science University, Adana, Turkey.
Omer GencDepartment of Cardiology, Basaksehir Cam and Sakura City Hospital, Health Science University, Istanbul, Turkey.
Yeliz SimsekDepartment of Emergency Medicine, Adana City Research and Training Hospital, Health Science University, Adana, Turkey.
Ahmet Burak UrfaliogluDepartment of Emergency Medicine, Adana City Research and Training Hospital, Health Science University, Adana, Turkey.
Erdem AksayDepartment of Emergency Medicine, Adana City Research and Training Hospital, Health Science University, Adana, Turkey.
Adnan KuvvetliDepartment of General Surgery, Adana City Research and Training Hospital, Health Science University, Adana, Turkey.
Akkan AvciDepartment of Emergency Medicine, Adana City Research and Training Hospital, Health Science University, Adana, Turkey.
Ramazan GuvenDepartment of Emergency Medicine, Istanbul Cam and Sakura City Hospital, Istanbul, Turkey.
Hilmi Erdem SumbulDepartment of Internal Medicine, Adana City Research and Training Hospital, Health Science University, Adana, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPropensity-Score matching methods are one of the statistical methods used to reduce methodological bias in studies.

aimsIn our study, we investigated the effect of m- Nutritional Risk in Critically Ill (m-NUTRIC) score on 30-day mortality using the Propensity-Score matching method.

methodPatients admitted to the ICU, who nutrition support were included in this retrospective cohort study. Patients' m-NUTRIC scores were recorded. Propensity score matching and inverse probability of treatment weighting (IPTW) based on propensity score analyses were applied to address covariate imbalances between the two m-NUTRIC groups (low and high). Decision curve analysis was used to illustrate the net benefit of employing the Boruta-adjusted and propensity score-matched models over for determining 30-day mortality. Statistical analyses utilized two-sided tests with a significance level of 0.05.

resultsThe study population consisted of a total of 599 patients. m-NUTRIC score ≥ 5 had a significantly higher 30-day all-cause mortality rate compared to those with a score < 5 (p < 0.001). m-NUTRIC score was found to be a strong independent predictor of 30-day mortality (HR = 1.53, 95% CI: 1.35-1.72, p < 0.001) when considered as a continuous variable. In the IPTW analysis, individuals with an m-NUTRIC ≥ 5 score had a significantly higher 30-day mortality risk (weighted-HR = 1.67, 95% CI: 1.48-1.90, p < 0.001). This association remained consistent in the propensity score matched population (p < 0.001) and in the IPTW-adjusted cohort (p < 0.001).

conclusionsThe m-NUTRIC score was effective in predicting mortality rates. This study highlights the usefulness of the propensity-matching method in such studies.

Indexed as

Critical IllnessNutritional StatusNutritional SupportAdultAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedPropensity ScoreRetrospective StudiesRisk AssessmentRisk FactorsM-NUTRIC scoreMortalityPropensity score matching

Identifiers

What OpenQuestion holds

Textmetadata
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.