Lost opportunity to save newborn lives: variable national antenatal screening policies for <i>Neisseria gonorrhoeae</i> and <i>Chlamydia trachomatis</i>
Bibliographic record
Abstract
Unfavorable pregnancy outcomes caused by Chlamydia trachomatis or Neisseria gonorrhoeae infection are well known. The first step in addressing antenatal C. trachomatis and N. gonorrhoeae infection is a national policy to screen all pregnant women for C. trachomatis and N. gonorrhoeae, regardless of symptoms. The aim of this study was to inform policy makers on the presence of antenatal screening recommendations for C. trachomatis and N. gonorrhoeae infection. We conducted a three-part study from June 2015 to February 2016. We analyzed English and French language information online on Ministry of Health websites regarding C. trachomatis and N. gonorrhoeae antenatal screening. We referenced both primary official country and regional policy documents. We contacted the Ministry of Health directly if the information on the national antenatal screening was outdated or unavailable. In parallel, we sent a survey to the regional representative from the World Health Organization to help collect country-level data. Fourteen countries have current policies for antenatal screening of C. trachomatis and/or N. gonorrhoeae infection: Australia, the Bahamas, Bulgaria, Canada, Estonia, Japan, Germany, Latvia, New Zealand, Democratic People's Republic of Korea, Romania, Sweden, the United Kingdom, and the United States. Australia, New Zealand, and Latvia and the United States restricted antenatal screening to women ≤25 years old and those of higher risk. Several countries responded that they had policies to treat pregnant women with symptoms. This is the currently recommended WHO guideline but is not the same as universal screening. North Korea had policies in place which were not implemented due to lack of personnel and/or supplies. National level policies to support routine screening for C. trachomatis and N. gonorrhoeae infection to prevent adverse pregnancy and newborn outcomes are uncommon.
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.
How this classification was reachedexpand
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".