Evidence map›Paper›PMID 38524201›Full record

ArticleF&S reports2024

Effect of endometrial biopsy method on ribonucleic acid quality and gene expression analysis in patients with leiomyoma.

Thea Falkenberg Mikkelsen, Maria Vera-Rodriguez, Gareth Greggains, Péter Fedorcsák, Kirsten Hald

Open access · goldAbstract read
In one paragraph

Article in F&S reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Thea Falkenberg MikkelsenDepartment of Gynecology, Oslo University Hospital, Oslo, Norway.
Maria Vera-RodriguezDepartment of Reproductive Medicine, Oslo University Hospital, Oslo, Norway.
Gareth GreggainsDepartment of Reproductive Medicine, Oslo University Hospital, Oslo, Norway.
Péter FedorcsákDepartment of Reproductive Medicine, Oslo University Hospital, Oslo, Norway.
Kirsten HaldDepartment of Gynecology, Oslo University Hospital, Oslo, Norway.
Oslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare ribonucleic acid (RNA) quantity and purity in tissue collected with different endometrial sampling methods to establish the optimal tool for use in endometrial gene expression studies. Design: Observational study. Setting: University hospital. Patients: Fourteen patients with submucosal leiomyomas. Interventions: Unguided biopsies were obtained using a low-pressure suction device before hysteroscopy from 14 patients with submucosal leiomyomas followed by guided biopsy with a resectoscope loop. Fifty-seven samples were collected: 25 obtained using a suction device and 32 with a loop. Main Outcome Measures: Total biopsy weight, RNA purity, and RNA yield for each collection method. After complementary deoxyribonucleic acid synthesis, Results: The median weight of the samples was significantly larger when obtained with the low-pressure suction device than with the resectoscope loop (153 vs. 20 mg). The RNA yield was similar (suction curette, 1,625 ng/mg; resectoscope loop, 1,779 ng/mg). The A260-to-A280 ratio was satisfactory for 94.7 % of the samples, with no difference between the groups. The endometrial expression of Conclusions: Low-pressure endometrial suction devices provide tissue samples with acceptable RNA purity and quantity for gene expression studies. The expression of

Indexed as

endometrial biopsylow-pressure suction curettePipelleresectoscope loop

Identifiers

PMID38524201
PMCPMC10958711
OpenAlexW4388681895

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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.