Evidence map›Paper›PMID 22384426›Full record

ArticleClinical and experimental reproductive medicine2011

Pioglitazone treatment decreases follicular fluid levels of tumor necrosis factor-α and interleukin-6 in patients with polycystic ovary syndrome.

Chung-Hoon Kim, Jun-Woo Ahn, Rae-Mi You, Sung-Hoon Kim, Hee-Dong Chae, Byung-Moon Kang

Open access · hybridAbstract read
In one paragraph

Article in Clinical and experimental reproductive medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
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  7. The Improvement Effect of D-Chiro-Inositol andFrontiers in pharmacology · 2022
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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

6 authors at 2 institutions in 1 country.

Chung-Hoon KimDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jun-Woo Ahn
Rae-Mi You
Sung-Hoon Kim
Hee-Dong Chae
Byung-Moon Kang
University of Ulsan · KRAsan Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effects of pioglitazone on controlled ovarian stimulation (COS), IVF outcomes, and follicular fluid (FF) cytokine concentrations in patients with polycystic ovary syndrome (PCOS).

methodsEighty-six infertile patients with PCOS resistant to clomiphene citrate were randomized to receive pioglitazone (30 mg/day) or placebo on the starting day of oral contraceptive (OC) pretreatment, followed by an IVF protocol using a GnRH antagonist. Pioglitazone or placebo was administered once daily from the starting day of OC to the day of hCG injection.

resultsTotal dose and days of recombinant follicle-stimulating hormone administered, and the numbers of retrieved and mature oocytes, were significantly lower in the pioglitazone group than in the control group. FF tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) concentrations at oocyte retrieval were also significantly lower in the pioglitazone group. The clinical pregnancy rate was higher and the incidence of severe ovarian hyperstimulation syndrome was lower in the pioglitazone group, but the differences were not statistically significant.

conclusionPioglitazone reduces FF TNF-α and IL-6 levels, and may improve ovarian response to COS in patients with PCOS.

Indexed as

Follicular FluidHumanInterleukin-6In Vitro FertilizationPioglitazonePolycystic Ovary SyndromeTumor Necrosis Factor-alpha

Identifiers

PMID22384426
PMCPMC3283053
OpenAlexW2171776712

What OpenQuestion holds

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Registered trials

None linked

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.