ArticleRevista Brasileira de terapia intensiva
Is APACHE II a useful tool for clinical research?
Article in Revista Brasileira de terapia intensiva. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Development and Validation of an Interpretable Machine Learning-Based Clinical Prediction Model for Short-Term Mortality in Intracerebral Hemorrhage With Thrombocytopenia: A Multicenter Study.CNS neuroscience & therapeutics · 2026Article
- The International, Prospective COSMOS (CytOSorb® TreatMent Of Critically Ill PatientS) Registry: Interim Results in Patients with Septic Shock.Annals of intensive care · 2026Article
- Observational
- Comparisons of mortality predictions of mROX, CURB-65, and APACHE II in patients with severe pneumonia: A retrospective cohort study.Medicine · 2025Article
- Validation of the APACHE‑II scoring system in critically ill patients diagnosed with COVID‑19 and admitted at a regional‑level hospital intensive care unit: A retrospective study.The Southern African journal of critical care : the official journal of the Critical Care Society · 2025Article
- Comparison of mNUTRIC-S2 and mNUTRIC scores to assess nutritional risk and predict intensive care unit mortality.Acute and critical care · 2022Article
- Development and validation of an online nomogram for predicting the outcome of open tracheotomy decannulation: a two-center retrospective analysis.American journal of translational research · 2022Article
- Support vector machine deep mining of electronic medical records to predict the prognosis of severe acute myocardial infarction.Frontiers in physiology · 2022Article
- The Applicability of Commonly Used Severity of Illness Scores to Tropical Infections in Australia.The American journal of tropical medicine and hygiene · 2021Article
- Improvement of APACHE II score system for disease severity based on XGBoost algorithm.BMC medical informatics and decision making · 2021Article
- Clinical Characteristics and Risk Factors for Critically Ill Patients with Carbapenem-ResistantInfection and drug resistance · 2021Article
- Serum iron levels are an independent predictor of in-hospital mortality of critically ill patients: a retrospective, single-institution study.The Journal of international medical research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.