Pregnancy complications and obstetric care in women with inherited bleeding disorders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Women with inherited bleeding disorders (IBD) require the input of a multidisciplinary team to improve outcomes of pregnancy. The role of the haemophilia nurse within the multidisciplinary team is to provide educational and emotional support to the women and to facilitate and co-ordinate patient-centred care. Prenatal diagnosis in cases of haemophilia is an integral part of the management of early pregnancy with a recent drive towards non-invasive prenatal diagnostic techniques. There is a current lack of data on the risk of miscarriage and bleeding complications during pregnancy. A clear association has only been established in women with fibrinogen and factor XIII deficiency. In the affected neonate with severe bleeding disorders such as haemophilia, the risk of head bleeding is significant, and appropriate management of labour and delivery has an important impact on reducing the risk. Women with IBD are at risk of both primary and secondary postpartum haemorrhage. Appropriate risk assessment and advance planning for haemostatic cover can reduce the bleeding risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it