Evidence map›Paper›PMID 28405121›Full record

ArticleJournal of obstetrics and gynaecology of India2017

GnRh Agonist Treatment Improves Implantation and Pregnancy Rates of Frozen-Thawed Embryos Transfer.

S A Hebisha, H M Adel

Open access · bronzeAbstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

S A HebishaFaculty of Medicine, Alexandria University, Alexandria, Egypt.
H M AdelFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Alexandria University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the effect of GnRh agonist administration prior to estrogen-progesterone preparation of the endometrium on the implantation rate in frozen-thawed embryo transfer (FET) cycles in infertile patients treated with IVF/ICSI.

designProspective controlled study.

settingPrivate center in Alexandria, Egypt. PATIENTS: Patients undergoing frozen-thawed embryo transfer FET.

interventionsPatients were divided into two groups, A and B. Group A patients consisted of 110 patients (110 cycles) who received daily subcutaneous injections of 0.1 mg of the GnRh agonist triptorelin starting from the mid-luteal phase of the cycle preceding the actual FET cycle. The dose was reduced to 0.05 mg from the second day of the cycle when daily oral estradiol valerate 6 mg was also started. Daily vaginal supplementation of micronized progesterone 400 mg b.d. was started after 12 days when the GnRh agonist was also stopped. Frozen-thawed embryos were transferred on day + 1 of their chronological age and when the endometrium reached 12 mm in thickness. Group B consisted of 100 patients (100 cycles) who started daily estradiol valerate 6 mg administration from the second day of the FET cycle and followed the same regimen but without prior treatment with triptorelin.

main outcome measuresImplantation and pregnancy rates were compared among the two groups.

resultsThere was a significant increase in implantation rate in the GnRh agonist group (group A) compared to the estrogen and progesterone only group (group B) (44.1 vs. 21.1 %;

conclusionsGnRh agonist administration during endometrial preparation for FET increases the implantation and pregnancy rates.

Indexed as

FETGnRH agonistICSIVitrification

Identifiers

PMID28405121
PMCPMC5371523
OpenAlexW2515261191

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.