ReviewClinical epidemiology2016
The Danish Intensive Care Database.
Review in Clinical epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 60 citations in OpenAlex.
- Pediatric Intensive Care Utilization and Outcomes in Denmark.JAMA network open · 2026Article
- Quality Assessment of the Iran Intensive Care Unit Registry: A Validation Evaluation Using International Medical Registry Frameworks (2017-2024).Iranian journal of medical sciences · 2026Article
- Patient Characteristics Associated With Outcomes After General Anaesthesia in Denmark: A Nationwide Observational Study.Acta anaesthesiologica Scandinavica · 2025Observational
- Antibiotic Consumption in Danish Intensive Care Units, 2013-2023: A Nationwide Study of Temporal Trends.Acta anaesthesiologica Scandinavica · 2025Observational
- Strain in the Pediatric Intensive Care Unit and its Association with Patient Outcomes.Journal of intensive care medicine · 2025Article
- ABO Blood Type and Short-Term Mortality in Patients With Infection-Associated Disseminated Intravascular Coagulation.European journal of haematology · 2025Article
- Hospital-Acquired Bloodstream Infections in Relation to Intensive Care Unit Stays During Hospitalization-A Population-Based Cohort Study.Journal of clinical medicine · 2024Article
- Epidemiology of Renal Replacement Therapy for Critically Ill Patients across Seven Health Jurisdictions.American journal of nephrology · 2024Article
- Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU quality data from 2015 to 2020.Frontiers of medicine · 2023Article
- Hyperbaric oxygen treatment in the management of necrotising soft-tissue infections: results from a Danish nationwide registry study.BMJ open · 2023Article
- Inhaled corticosteroids and adverse outcomes among chronic obstructive pulmonary disease patients with community-acquired pneumonia: a population-based cohort study.Frontiers in medicine · 2023Article
- Article
- Patients in complete remission after R-CHOP(-like) therapy for diffuse large B-cell lymphoma have limited excess use of health care services in Denmark.Blood cancer journal · 2022Article
- Socioeconomic Disparity Trends in End-of-Life Care for Cancer and Non-Cancer Patients: Are We Closing the Gap?Clinical epidemiology · 2022Article
- Article
- What intensive care registries can teach us about outcomes.Current opinion in critical care · 2021Review
- COVID-19 versus influenza A/B supeRInfectionS in the IntenSive care unit (CRISIS): Protocol for a Danish nationwide cohort study.Acta anaesthesiologica Scandinavica · 2021Article
- Changes in intensive care unit admission rates, organ support, and mortality in patients with acute myeloid leukaemia over a 12-year period: a Danish nationwide cohort study.British journal of haematology · 2021Article
- A scoping review of registry captured indicators for evaluating quality of critical care in ICU.Journal of intensive care · 2021Article
- Association of α1-Blocker Receipt With 30-Day Mortality and Risk of Intensive Care Unit Admission Among Adults Hospitalized With Influenza or Pneumonia in Denmark.JAMA network open · 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
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aim of databaseThe aim of this database is to improve the quality of care in Danish intensive care units (ICUs) by monitoring key domains of intensive care and to compare these with predefined standards. STUDY POPULATION: The Danish Intensive Care Database (DID) was established in 2007 and includes virtually all ICU admissions in Denmark since 2005. The DID obtains data from the Danish National Registry of Patients, with complete follow-up through the Danish Civil Registration System. MAIN VARIABLES: For each ICU admission, the DID includes data on the date and time of ICU admission, type of admission, organ supportive treatments, date and time of discharge, status at discharge, and mortality up to 90 days after admission. Descriptive variables include age, sex, Charlson comorbidity index score, and, since 2010, the Simplified Acute Physiology Score (SAPS) II. The variables are recorded with 90%-100% completeness in the recent years, except for SAPS II score, which is 73%-76% complete. The DID currently includes five quality indicators. Process indicators include out-of-hour discharge and transfer to other ICUs for capacity reasons. Outcome indicators include ICU readmission within 48 hours and standardized mortality ratios for death within 30 days after admission using case-mix adjustment (initially using age, sex, and comorbidity level, and, since 2013, using SAPS II) for all patients and for patients with septic shock. DESCRIPTIVE DATA: The DID currently includes 335,564 ICU admissions during 2005-2015 (average 31,958 ICU admissions per year).
conclusionThe DID provides a valuable data source for quality monitoring and improvement, as well as for research.
Indexed as
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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.