A comprehensive review on prevalence and its adverse outcome of Chlamydia trachomatis on female genital tract
Bibliographic record
Abstract
One of the most prevalent bacterial infections acquired through sexual contact is Chlamydia trachomatis. The age group of 16-19 years old (young sexually active individuals) is where females are most susceptible to contracting this virus. Most of the time they are asymptomatic, but if they are not treated, they might have serious side effects including pelvic inflammatory disease (PID). Chylamdia can be diagnosed using a variety of diagnostic methods; however, recent groundbreaking research using NAAT has made the diagnosis and treatment of the condition two times simpler. Key words such as ‘chlamydia,’ ‘pelvic inflammatory disease’ ‘cervicitis,’ ‘sexually transmitted infection,’ ‘vaginal discharge’ were used in a systematic search of the electronic databases PubMed, Embase, LitCovid, MedRxiv, BioRxiv, Google Scholar, EBSCO MEDLINE, CINAHL, and Scopus to find studies published between January 2009 and December 2023. Overall, this review helps to clarify the effects of Chylamdia on the female reproductive system, which in turn helps to clarify some of the problems and basic care associated with it. In general, the review's goal is to shield the public from serious health problems and make them more equipped to deal with them in case they acquire them.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".