Evidence map›Paper›PMID 36601009›Full record

ArticleFrontiers in endocrinology2022

Effects of follicular output rate on cumulative clinical pregnancy rate and cumulative live birth rate in PCOS patients with different characteristics.

Rulan Jiang, Mingya Cao, Haomeng Hao, Rui Jia, Peipei Chen, Yuanyuan Liu, Zhiming Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 6 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

7 authors at 3 institutions in 1 country.

Rulan JiangDepartment of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang,  China.
Mingya CaoDepartment of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang,  China.
Haomeng HaoDepartment of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang,  China.
Rui JiaDepartment of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang,  China.
Peipei ChenDepartment of Gynecology and Obstetrics, Handan First Hospital, Handan,  China.
Yuanyuan LiuDepartment of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang,  China.
Zhiming ZhaoDepartment of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang,  China.
Second Hospital of Hebei Medical University · CNHebei Medical University · CNHandan College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aim to explore the effects of follicular output rate (FORT) on cumulative clinical pregnancy rate (CCPR) and cumulative live birth rate (CLBR) in polycystic ovary syndrome (PCOS) patients with different characteristics undergoing Methods: This retrospective study analyzed 454 patients with PCOS undergoing their first IVF cycle at our center from January 2016 to December 2020. FORT was calculated as pre-ovulatory follicle count (PFC) × 100/antral follicle count (AFC). Multivariate regression analyses were conducted to explore the relationships between FORT and CCPR and CLBR. Curve fitting and threshold effect analyses were established to find nonlinear relationships. Effect modification in different subgroups were examined by stratification analyses. Results: Based on the FORT values, individuals were classified into the following three groups: low-FORT group, middle-FORT group and high-FORT group. Multivariate regression analyses revealed that FORT was an independent factor affecting the CCPR and CLBR significantly (OR = 1.015, 95% CI: 1.001, 1.030 and OR = 1.010, 95% CI:1.001, 1.020). Curve fitting and threshold effect analyses showed that the CCPR and CLBR had a positive correlation with FORT when the FORT was less than 70% (OR = 1.039, 95% CI: 1.013, 1.065 and OR = 1.024, 95% CI: 1.004, 1.044). Stratification analyses showed that the CLBR increased by 1.3% with each additional unit of FORT for patients with hyperandrogenic manifestations (OR = 1.013, 95% CI: 1.001, 1.025). Compared with the low-FORT group, in the high-FORT group, CCPR increased 1.251 times for patients with polycystic ovarian morphology, while CCPR and CLBR increased 1.891 times and 0.99 times for those with ovulation disorder, respectively (OR = 2.251, 95% CI: 1.008, 5.028 and OR = 2.891, 95% CI: 1.332, 6.323 and OR = 1.990, 95% CI: 1.133, 3.494). Conclusion: In patients with PCOS, cumulative IVF outcomes have a positive correlation with FORT when the FORT is less than 70%. For PCOS patients with polycystic ovarian morphology, ovulation disorder or hyperandrogenic manifestations, a high FORT could be conductive to achieving better pregnancy outcomes.

Indexed as

Birth RatePolycystic Ovary SyndromeEmbryo TransferFemaleHumansOvulation InductionPregnancyPregnancy RateRetrospective Studiescumulative clinical pregnancy ratecumulative live birth ratefollicular output ratein vitro fertilization-embryo transferPCOS characteristicspolycystic ovarian syndrome

Identifiers

PMID36601009
PMCPMC9806261
OpenAlexW4313396459

What OpenQuestion holds

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LicenceCC BY
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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.