ArticleJournal of anesthesia2023
Obstetric admission to intensive care units in Japan: a cohort study using the Japanese Intensive care PAtient Database.
Article in Journal of anesthesia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- External validity limitations of randomized trials cited in adult critical care clinical practice guidelines: a systematic review of guidelines published from 2015 to 2020.Frontiers in medicine · 2026Pooled it
- Development and Future Perspectives of Obstetric Intensive Care Units in China.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2025Article
- Article
- Clinical features and outcomes of peripartum obstetric patients admitted to the intensive care unit: A nationwide inpatient database in Japan.Critical care (London, England) · 2025Observational
- Maternal demography, clinical characteristics, & outcomes at an obstetric intensive care unit of a tertiary-care teaching maternity hospital in the Kashmir Valley.The Indian journal of medical research · 2025Article
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
purposeThis study aimed to describe the epidemiology and annual trends of obstetric patients using a multicenter intensive care database.
methodsThis multicenter, retrospective cohort study used the Japanese Intensive care PAtient Database (JIPAD). We included obstetric patients registered in the JIPAD between 2015 and 2020. We investigated the proportion of obstetric patients among all patients in the intensive care unit (ICU). We also described the characteristics, procedures, and outcomes of obstetric patients. In addition, the annual trends were examined by nonparametric tests for trends.
resultsOf the 184,705 patients enrolled in the JIPAD, 750 (0.41%) were obstetric patients from 61 facilities. The median age was 34 years, the number of post-emergency surgeries was 450 (60.0%), and the median APACHE III score was 36. Mechanical ventilation was the most common procedure performed in 247 (32.9%) patients. There were five (0.7%) in-hospital deaths. The proportion of obstetric patients in the ICU did not change between 2015 and 2020 (P for trend = 0.32). However, there was a trend for a significant decrease in the severity of illness and length of hospital stay on an annual basis between 2015 and 2020. Most patients were admitted to the ICU because of a pregnancy-related disorder postoperatively.
conclusionThe proportion of obstetric patients was 0.41% of all ICU admissions. The proportion of obstetric patients admitted to the ICU did not change from 2015 to 2020, but the patients' severity of illness and length of hospital stay significantly decreased over time.
Indexed as
Identifiers
37222956What 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.