ArticleRevista da Escola de Enfermagem da U S P2025
Maternal near miss in a teaching hospital in the Brazilian Midwest: contributions to care.
Article in Revista da Escola de Enfermagem da U S P, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Using artificial intelligence as a technological tool in gynecologic and obstetric health: A narrative literature review.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo analyze cases of maternal near miss in a teaching hospital.
methodThis is a cross-sectional study with a quantitative approach. The research was performed in a teaching hospital, in Mato Grosso do Sul, from June to December 2021. Data were collected from physical and electronic medical records, laboratory tests, and prenatal records, using a structured instrument. They were subsequently subjected to descriptive and inferential analysis in Epi Info 7.2.2.6.
resultsFifty-nine medical records were analyzed, 49 presenting potentially life-threatening condition and ten maternal near misses. Coming from inland cities of the state, gestational risk classification, bleeding and management disorders showed a significant association with maternal near miss.
conclusionIt becomes necessary to plan tracking actions, such as the implementation of a flow for identifying women with potentially life-threatening conditions, and the implementation of specific protocols with preventive key interventions and notification of maternal near miss, with a view to improving care and consequently reducing the risk of serious maternal outcomes.
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.