Evidence map›Paper›PMID 42866129›Full record

ArticleOpen medicine (Warsaw, Poland)2026

Hysteroscopic polypectomy with vs. without levonorgestrel-releasing intrauterine system in women with endometrial polyps and dysmenorrhea.

Yongyan Ni, Yue Chen

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2026. 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
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.

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

2 authors.

Yongyan NiDepartment of Obstetrics and Gynecology, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China.ORCID https://orcid.org/0009-0009-5729-4664
Yue ChenDepartment of Obstetrics and Gynecology, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China.ORCID https://orcid.org/0000-0003-0886-2425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate, among premenopausal women with endometrial polyps and documented dysmenorrhea, whether levonorgestrel-releasing intrauterine system (LNG-IUS) placement after hysteroscopic polypectomy (HP) was associated with better outcomes. Methods: This retrospective cohort study analyzed 276 premenopausal women with pathologically confirmed endometrial polyps who underwent HP between January 2022 and December 2024. Patients were classified into an HP-alone group (n=162) or an HP+LNG-IUS group (n=114). Results: At 12 months, the HP+LNG-IUS group had lower VAS scores than the HP group (aMD=-0.36; 95 % CI, -0.60 to -0.12; p=0.004). Clinically meaningful dysmenorrhea improvement occurred in 79.82 % in the HP+LNG-IUS group and 65.43 % in the HP group (aOR, 2.22; 95 % CI, 1.23-3.99; p=0.008). HP+LNG-IUS was also associated with a lower 12-month PBAC score and thinner endometrium. Exploratory analyses showed lower measured FSH, LH, estradiol, and progesterone levels. Polyp recurrence was observed in 2.63 % in the HP+LNG-IUS group and 9.26 % in the HP group. Conclusions: In this study, LNG-IUS placement after HP was associated with modestly lower pain scores, lower menstrual blood loss, thinner endometrium, and lower observed 12-month polyp recurrence. Residual confounding, sparse recurrence events, ultrasound-based recurrence ascertainment, and retrospective adverse-event capture limit causal and safety inferences. Prospective controlled studies are required.

Indexed as

dysmenorrheaendometrial polypshysteroscopic polypectomylevonorgestrel-releasing intrauterine systemmenstrual blood lossrecurrence

Identifiers

PMID42866129
PMCPMC13656975

What OpenQuestion holds

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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.