Evidence map›Paper›PMID 29720746›Full record

ArticleGeburtshilfe und Frauenheilkunde2018

Comparison of Nerve Fiber Density between Patients with Uterine Leiomyoma with and without Pain: a Prospective Clinical Study.

Burak Giray, Esra Esim-Buyukbayrak, Sevinc Hallac-Keser, Ayse Yasemin Karageyim-Karsidag, Aysegul Turkgeldi

Abstract read
In one paragraph

Article in Geburtshilfe und Frauenheilkunde, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

5 authors.

Burak GirayDepartment of Gynecologic Oncology, Zeynep Kamil Women's and Children's Disease Training and Research Hospital, Istanbul, Turkey.
Esra Esim-BuyukbayrakDepartment of Perinatology, Marmara University Pendik Training and Research Hospital, Istanbul, Turkey.
Sevinc Hallac-KeserDepartment of Pathology, Dr. Lutfi Kirdar Kartal Training and Research Hospital, Istanbul, Turkey.
Ayse Yasemin Karageyim-KarsidagSchool of Health, Kirklareli University, Kirklareli, Turkey.
Aysegul TurkgeldiDepartment of Gynecology and Obstetrics, Dr. Lutfi Kirdar Kartal Training and Research Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to compare the presence and the amount of nerve fibers in endometrial, myometrial and leiomyoma tissues using protein gene product 9.5 (PGP 9.5) and neurofilament (NF) immunohistochemical staining in uterine leiomyoma patients with and without pain complaint.

methodsPatients undergoing hysterectomy for uterine leiomyoma were prospectively enrolled in the study. Twenty-five uterine leiomyoma patients without pelvic pain complaint (visual analog scale (VAS) < 5) were assigned to Group 1; 23 uterine leiomyoma patients with pelvic pain complaint (VAS ≥ 5) were assigned to Group 2. Endometrial, myometrial and leiomyoma tissues obtained from hysterectomy specimens were stained immunohistochemically using PGP 9.5 and NF dyes. The presence and density of nerve fibers were compared between the two groups.

resultsNone of the endometrial samples in either groups stained with PGP 9.5 and NF dyes. There was no statistically significant difference in the number of nerve fibers in myometrial and leiomyoma tissues between the two groups with either of the stains (PGP 9.5: p = 0.39 and p = 0.29; NF: p = 0.83 and p = 0.65, respectively). There was agreement between PGP 9.5 and NF immunohistochemical staining for nerve fiber detection in myometrial and leiomyoma tissues (p < 0.05/κ = 0.622 and p < 0.05/κ = 0.388, respectively).

conclusionThis study demonstrates that the quantity and density of nerve fibers in myometrial and leiomyoma tissue in patients with pain were similar to that in patients without pain.

Indexed as

nerve fibersneurofilamentpelvic painprotein gene product 9.5uterine leiomyoma

Identifiers

PMID29720746
PMCPMC5925689

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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.