ArticleScientific reports2024
Association between BMI and outcomes in critically ill patients: an analysis of the MIMIC-III database.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Mortality, Renal Replacement Therapy and Renal Impairment Markers in Critically Ill Patients in a Multinational Point-Prevalence ICU Cohort over 2007 to 2024: A nutritionDay Descriptive Multivariable Analysis.Journal of clinical medicine · 2026Article
- Article
- Triglyceride-Glucose Index Modifies Mortality Risk Across Body Mass Index Strata in Critically Ill Patients: A Retrospective Cohort Analysis of the MIMIC-IV Database.Journal of clinical medicine · 2026Article
- BMI is independently associated with ARDS, sepsis and multiorgan failure after major trauma-results of a high-volume retrospective observational cohort study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Observational
- Early postoperative factors associated with in-hospital mortality after emergency noncardiac surgery: A Japanese nationwide registry-based intensive care unit cohort study.Scientific reports · 2026Observational
- Functional improvement is a better predictor of steady work than medical improvement for individuals with mental health conditions.PLOS mental health · 2025Article
- Effectiveness of Nurse-led Interventions on Pain and Complications among Patients Admitted to Intensive Care Unit: A Quasi-experimental study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care MedicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity is a significant public health challenge, yet the link between BMI and mortality in critical illness remains unclear. This study analyzed 19,311 patients from the MIMIC-III database, categorized into underweight, normal weight, overweight, and obese groups. Using Cox models and restricted cubic splines, we explored the complex association between BMI and mortality. Finally, multiple sensitivity analyses were performed to test the robustness of the results. The proportion of underweight patients (2.3%) was the lowest, while overweight (34.8%) and obese (34.5%) patients constituted a large proportion. Being underweight portended a greater risk, while being overweight or obese was associated with a lower risk of mortality, which is consistent with the sensitivity analysis. Moreover, we observed a typical L-shaped association between BMI and the risk of mortality with and without adjustment, with the lowest mortality occurring at approximately 32 kg/m
Indexed as
Identifiers
What OpenQuestion holds
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.