SynthesisBMC anesthesiology2016
Anion gap as a prognostic tool for risk stratification in critically ill patients - a systematic review and meta-analysis.
Synthesis in BMC anesthesiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis 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
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and diagnostic test accuracy meta-analysis of the validity of anion gap as a screening tool for hyperlactatemia.BMC research notes · 2017Pooled it
- Association between serum anion gap and 28-day mortality among patients admitted to the hospital with aortic dissection: a retrospective cohort study with the MIMIC-IV database.Journal of thoracic disease · 2026Article
- Predictive Value of 48-hour Anion Gap Fluctuations in ICU Patients with Acute Kidney Injury: An Analysis based on MIMIC Database.Current pharmaceutical design · 2026Article
- Impact of anion gap on in-hospital mortality in trauma-induced coagulopathy patients: a MIMIC-IV study.European journal of medical research · 2025Article
- Non-linear association between anion gap and 28-day mortality in critically ill patients with COVID-19: a cohort study from MIMIC IV database.Journal of thoracic disease · 2025Article
- Association between serum anion gap and all-cause mortality in critically ill patients with Gastrointestinal bleeding: insights from MIMIC-IV database.Scientific reports · 2025Article
- The association of albumin-corrected anion gap and acute kidney injury in heart failure patients: a competing risk model analysis.BMC cardiovascular disorders · 2025Article
- Anion gap predicting 90-Day mortality and guiding furosemide use in ARDS.Scientific reports · 2025Article
- Association between changes in corrected anion gap and mortality among critically ill patients during ICU stay: a multicenter observational study.Frontiers in physiology · 2025Article
- Article
- Article
- Association between serum anion gap and 28-day mortality in critically ill patients with infective endocarditis: a retrospective cohort study from MIMIC IV database.BMC cardiovascular disorders · 2024Article
- Article
- Association between the anion gap and mortality in critically ill patients with influenza: A cohort study.Heliyon · 2024Article
- Association between Albumin-Corrected Anion Gap and Mortality in Patients with Cardiogenic Shock.Reviews in cardiovascular medicine · 2024Article
- Association between serum anion gap and risk of in-hospital mortality in patients with acute heart failure.Scientific reports · 2024Article
- A prognostic model incorporating the albumin-corrected anion gap in patients with aneurysmal subarachnoid hemorrhage.Frontiers in neurology · 2024Article
- Association Between Serum Anion Gap and Mortality in Critically Ill Patients with COPD in ICU: Data from the MIMIC IV Database.International journal of chronic obstructive pulmonary disease · 2024Article
- Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database.JMIR formative research · 2023Article
- The association between serum anion gap and acute kidney injury after coronary artery bypass grafting in patients with acute coronary syndrome.BMC cardiovascular disorders · 2023Article
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
backgroundLactate concentration is a robust predictor of mortality but in many low resource settings facilities for its analysis are not available. Anion gap (AG), calculated from clinical chemistry results, is a marker of metabolic acidosis and may be more easily obtained in such settings. In this systematic review and meta-analysis we investigated whether the AG predicts mortality in adult patients admitted to critical care settings.
methodsWe searched Medline, Embase, Web of Science, Scopus, The Cochrane Library and regional electronic databases from inception until May 2016. Studies conducted in any clinical setting that related AG to in-hospital mortality, in-intensive care unit mortality, 31-day mortality or comparable outcome measures were eligible for inclusion. Methodological quality of included studies was assessed using the Quality in Prognostic Studies tool. Descriptive meta-analysis was performed and the I(2) test was used to quantify heterogeneity. Subgroup analysis was undertaken to identify potential sources of heterogeneity between studies.
resultsNineteen studies reporting findings in 12,497 patients were included. Overall, quality of studies was poor and most studies were rated as being at moderate or high risk of attrition bias and confounding. There was substantial diversity between studies with regards to clinical setting, age and mortality rates of patient cohorts. High statistical heterogeneity was found in the meta-analyses of area under the ROC curve (I(2) = 99 %) and mean difference (I(2) = 97 %) for the observed AG. Three studies reported good discriminatory power of the AG to predict mortality and were responsible for a large proportion of statistical heterogeneity. The remaining 16 studies reported poor to moderate ability of the AG to predict mortality. Subgroup analysis suggested that intravenous fluids affect the ability of the AG to predict mortality.
conclusionBased on the limited quality of available evidence, a single AG measurement cannot be recommended for risk stratification in critically ill patients. The probable influence of intravenous fluids on AG levels renders the AG an impractical tool in clinical practice. Future research should focus on increasing the availability of lactate monitoring in low resource settings. PROSPERO REGISTRATION NUMBER: CRD42015015249 . Registered on 4th February 2015.
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.