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Record W1538702304 · doi:10.14740/jocmr2137w

Current Status of the Screening of Chlamydia trachomatis Infection Among Japanese Pregnant Women

2015· article· en· W1538702304 on OpenAlexvenueno aff
Shunji Suzuki, Masanobu Tanaka, Hideo Matsuda, Yuki Tsukahara, Yasushi Kuribayashi, Akihiko Sekizawa, Ryoichiro Miyazaki, Osamu Nishii, Akihito Nakai, Nobuko Mizutani, Yoshiaki Kumamoto, Katsuyuki Kinoshita

Bibliographic record

VenueJournal of Clinical Medicine Research · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChlamydia trachomatisAsymptomaticPregnancyObstetricsChlamydiaGynecologyPolymerase chain reactionAntibodyInternal medicineImmunologyBiology

Abstract

fetched live from OpenAlex

Chlamydia trachomatis (CT) infection in pregnancy can cause maternal disease, adverse pregnancy outcomes, and neonatal disease [1-6]. In general, approximately 80% of CT infected women are asymptomatic or minimally symptomatic. There-fore, screening is the only means to effectively identify infec-tions [2]. In Japan, pregnant women are routinely tested for CT with the Japanese public funds. According to the guide-lines for obstetrical practice in Japan [7], Japanese obstetri-cians must provide a test for the detection of CT for the pre-vention of neonatal CT infection and diagnose urogenital CT infection when CT is detected using polymerase chain reac-tion (PCR), strand displacement amplification, transcription mediated amplification, an enzyme immunoassay, or culture methods in specimens obtained from the uterine cervix (CT nucleic acid detection tests). However, CT antibody detection by IgA tests has been substituted for these methods by some of obstetricians.On October 2014, we requested 2,544 obstetrical facilities that are members of Japan Association of Obstetricians and Gynecologists (JAOG) to provide information of CT screen-ing tests in pregnant women between October 2013 and March 2014. A total of 1,644 (64.6%) of 2,544 obstetrical facilities responded with possible statistical analysis information on a total of 328,788 women, accounting for approximately 65% of all deliveries that occurred in Japan during the study period. Of the 1,644 obstetrical facilities, CT nucleic acid detection PCR tests, CT nucleic acid detection tests except PCR and CT antibody detection tests were performed in 1,221 (74.3%), 408 (24.8%) and 15 (0.9%) facilities, respectively.Table 1 shows the maternal age distribution under the three CT screening tests (CT nucleic acid detection tests with and without PCR and CT antibody detection tests). There were no significant differences in the maternal age distribution among the three CT screening tests groups.Table 2 shows the results of CT screening tests (CT nucle-ic acid detection tests with and without PCR and CT antibody detection tests) of the study population by age. There were no significant differences in the rate of positive CT between the two groups of CT nucleic acid detection screening tests with and without PCR. However, the positive rate by the CT anti-body detection tests was significantly higher than those by the two CT nucleic acid detection tests with and without PCR (P < 0.01 by X

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.298
GPT teacher head0.530
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2015
Admission routes1
Has abstractyes

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