SynthesisCritical care (London, England)2014
Evaluation of Simplified Acute Physiology Score 3 performance: a systematic review of external validation studies.
Synthesis in Critical care (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled 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.
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
36 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Trends in Mechanical Intestinal Obstruction: A 30‑Year Comparative Analysis Between Developing and Developed Nations.Annals of global health · 2025Pooled it
- Performance of critical care prognostic scoring systems in low and middle-income countries: a systematic review.Critical care (London, England) · 2018Pooled it
- Risk prediction models for maternal mortality: A systematic review and meta-analysis.PloS one · 2018Pooled it
- Measurement properties of comorbidity indices in maternal health research: a systematic review.BMC pregnancy and childbirth · 2017Pooled it
- Rezafungin Versus Caspofungin for the Treatment of Candidemia and Invasive Candidiasis: Results from the Double-blind, Randomized, Phase 3 ReSTORE Trial Including the China Extension Study.Open forum infectious diseases · 2025Trial
- Assessment of 5-year outcomes of life satisfaction in survivors after rehabilitation programs: a multicenter clinical trial.Scientific reports · 2022Trial
- Article
- Development and pilot testing of the AMPS model for predicting ICU mortality in low and middle income countries.Scientific reports · 2026Article
- Deep Vein Thrombosis in Critically Ill Patients With COVID-19 Pneumonia: Incidence, Wells Score Diagnostic Performance, and Hospital Prognosis.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Observational
- External Validation of the Simplified Acute Physiology Score-3 in a Cohort of 5,033 Patients in Mexico.Cureus · 2026Article
- MaTrICS: Micromobility Associated With Trauma and Its Clinical and Socioeconomic Impact.Cureus · 2026Article
- Development and validation of a multidimensional predictive model for 28-day mortality in ICU patients with bloodstream infections: a cohort study.Frontiers in cellular and infection microbiology · 2025Article
- Relationship between albumin-corrected anion gap and short- and medium-term all-cause mortality in heart failure patients with a single ICU admission.Frontiers in cardiovascular medicine · 2025Article
- Proenkephalin A 119-159 in Perioperative and Intensive Care-A Promising Biomarker or Merely Another Option?Diagnostics (Basel, Switzerland) · 2024Review
- Development and validation of an interpretable model for predicting sepsis mortality across care settings.Scientific reports · 2024Article
- Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning.BMC anesthesiology · 2023Article
- Explainable ensemble machine learning model for prediction of 28-day mortality risk in patients with sepsis-associated acute kidney injury.Frontiers in medicine · 2023Article
- Predicting Mortality Using Machine Learning Algorithms in Patients Who Require Renal Replacement Therapy in the Critical Care Unit.Journal of clinical medicine · 2022Article
- Prediction of in-hospital mortality: An adaptive severity-of-illness score for a tertiary ICU in South Africa.The Southern African journal of critical care : the official journal of the Critical Care Society · 2022Article
- Prognosticating Fetomaternal ICU Outcomes.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSimplified Acute Physiology Score 3 (SAPS 3) was the first critical care prognostic model developed from worldwide data. We aimed to systematically review studies that assessed the prognostic performance of SAPS 3 general and customized models for predicting hospital mortality in adult patients admitted to the ICU.
methodsMedline, Lilacs, Scielo and Google Scholar were searched to identify studies which assessed calibration and discrimination of general and customized SAPS 3 equations. Additionally, we decided to evaluate the correlation between trial size (number of included patients) and the Hosmer-Lemeshow (H-L) statistics value of the SAPS 3 models.
resultsA total of 28 studies were included. Of these, 11 studies (42.8%) did not find statistically significant mis-calibration for the SAPS 3 general equation. There was a positive correlation between number of included patients and higher H-L statistics, that is, a statistically significant mis-calibration of the model (r = 0.747, P <0.001). Customized equations for major geographic regions did not have statistically significant departures from perfect calibration in 9 of 19 studies. Five studies (17.9%) developed a regional customization and in all of them this new model was not statistically different from a perfect calibration for their populations. Discrimination was at least very good in 24 studies (85.7%).
conclusionsStatistically significant departure from perfect calibration for the SAPS 3 general equation was common in validation studies and was correlated with larger studies, as should be expected, since H-L statistics (both C and H) are strongly dependent on sample size This finding was also present when major geographic customized equations were evaluated. Local customizations, on the other hand, improved SAPS 3 calibration. Discrimination was almost always very good or excellent, which gives excellent perspectives for local customization when a precise local estimate is needed.
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.