ReviewRisk management and healthcare policy2020
Improving Healthcare Responses to Obstetric Hemorrhage: Strategies to Mitigate Risk.
Review in Risk management and healthcare policy, 2020. 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, 12 citations in OpenAlex.
- Prediction of post-delivery hemoglobin levels with machine learning algorithms.Scientific reports · 2024Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obstetric hemorrhage, with its related complications, remains a significant and often preventable cause of maternal morbidity and mortality. The medical community has made strides in beginning to address the impact of obstetric hemorrhage as a cause of maternal morbidity and mortality with standardized bundles outlining key elements for hospitals to address in order to optimize hemorrhage prevention and management. Changes in definitions, an expansion of the spectrum of causes, variation in interventions and guidelines and lack of innovation are some of the issues that pose ongoing challenges for meaningful risk reduction. Opportunities to support risk reduction include helping to secure necessary resources, building team training and simulation programs, developing interventions targeted at minimizing cognitive biases, and facilitating patient and family support program development.
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.