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Record W3014447208 · doi:10.5539/jmbr.v10n1p18

Clinical Efficacy of Laparoscopy and Hystroscopic Dilation and Curettage Procedure in Managing Cesarean Scar Pregnancy

2020· article· en· W3014447208 on OpenAlexvenueno aff
Mahin Najafian, Raziye Mohammad Jafari, Zorvan Jalili, Mojgan Barati, Ameneh Mozafari Garmeh

Bibliographic record

VenueJournal of Molecular Biology Research · 2020
Typearticle
Languageen
FieldMedicine
TopicEctopic Pregnancy Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCurettageGestational sacDilation and curettageLaparoscopySurgeryVaginal bleedingHysteroscopyGestational agePregnancyObstetricsFetusAbortion

Abstract

fetched live from OpenAlex

Objective: To evaluate the success rate of laparoscopy and hysteroscopic Dilation & Curettage in treating cesarean scar pregnancy. Methods: This cross-sectional study was carried on patients suspicious to CSP referred to Imam Khomeini Hospital, Ahvaz from Jun 2016 to March 2018. Gestational site was carefully evaluated by hysteroscopy and then curettage was carried out under laparoscopic guidance. The primary outcome in the study was time interval from treatment to hCG resolution. Moreover, the secondary outcomes were vaginal bleeding time and residual mass size. Results: In this study, 30 women with intrauterine CSP were evaluated. Of these, 5 had live embryos and 25 had dead fetuses. The success rate of treatment was 100%. Only one patient needed to transfusion. The mean and median duration of Bhcg resolution were 30.9 and 28 days, respectively. Moreover, The mean and median duration of vaginal bleeding were 30.9 and 28 days, respectively. The mean level of residual mass was 9.8 mm3 (ranged from 1 to 25 mm3). Conclusion: Overall, the findings of this study showed that D&C effectively treated CSP patients (100% success rate), reduced the time of Bhcg resolution and also reduced vaginal bleeding time.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.024
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.083
GPT teacher head0.456
Teacher spread0.374 · 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 teacher head, 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

Citations0
Published2020
Admission routes1
Has abstractyes

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