Evidence map›Paper›PMID 28639570›Full record

ArticleChinese medical journal2017

Menorrhagia and Uterine Volume Associated with Lower Urinary Tract Symptoms in Patients with Adenomyosis.

Ting Li, Xiao-Xuan Xu, Yi Dai, Jun-Ji Zhang, Jing-He Lang, Jin-Hua Leng

Open access · goldAbstract read
In one paragraph

Article in Chinese medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Relation between uterine morphology and severity of primary dysmenorrhea.Turkish journal of obstetrics and gynecology · 2020
    Article
  4. Article
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.

Ting LiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Xiao-Xuan XuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Yi DaiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Jun-Ji ZhangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Jing-He LangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Jin-Hua LengDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdenomyosis is a gynecological disorder with symptoms most presenting as dysmenorrhea and heavy menstrual bleeding. However, the presence of lower urinary tract symptoms (LUTS) among women with adenomyosis remains unclear. This study was designed to determine the prevalence of LUTS and factors related to the severity of these symptoms in this population.

methodsFrom July 2016 to November 2016, a total of 298 untreated symptomatic adenomyosis patients and 280 age-matched controls were enrolled. Demographics, LUTS, pain symptoms, ultrasonographic uterine size, and serum CA125 level were recorded. LUTS were evaluated using the International Prostate Symptom Score (IPSS) questionnaire. Factors related to the severity of LUTS were detected using the logistic regression analysis presented as odds ratio (OR) and 95% confidence interval (CI).

resultsCompared with the control group, patients with adenomyosis had a greater IPSS total (4 [2-8] vs. 2 [0-3], Z = -8.159, P 0.001), IPSS storage (2 [1-4] vs. 1[0-2], Z = -7.361 P 0.001), and IPSS voiding (2 [0-4] vs. 0 [0-1], Z = -7.194, P 0.001). Of the patients with adenomyosis, 30.2% had moderate-to-severe lower urinary tract symptoms (IPSS ≥8). The most prevalent LUTS were daytime frequency (40.9%), followed by nocturia (24.8%), weak stream (24.2%), and incomplete emptying (23.5%). In study group, patients with an IPSS total score ≥8 had higher proportion of menorrhagia (51.1% vs. 30.8%, χ2= 11.162 P= 0.025) and larger uterine volumes (183.3 [109.8-273.8] cm3 vs. 148.5 [96.4-262.7] cm3, Z = -1.441, P= 0.150) compared to patients with an IPSS total score <8. On multivariate logistic regression analysis, patients with menorrhagia were associated with an increased risk of an IPSS total score ≥8 (OR: 2.309, 95% CI: 1.310-4.070, P= 0.004), an IPSS storage subscore ≥4 (OR: 2.422, 95% CI: 1.395-4.206, P= 0.002), and an IPSS voiding subscore ≥5 (OR: 1.971, 95% CI: 1.176-3.302, P= 0.010). However, patients with uterine volume more than 180 cm3 had more than 2-fold risk of bearing IPSS total score ≥8 (OR: 2.437, 95% CI: 1.381-4.300, P= 0.002), IPSS storage subscore ≥4 (OR: 2.486, 95% CI: 1.433-4.314, P= 0.001), and IPSS voiding subscore ≥5 (OR: 2.700, 95% CI: 1.485-4.908, P= 0.001).

conclusionsLower urinary tract symptoms are prevalent in patients with symptomatic adenomyosis and greatly affect patients' quality of life. Menorrhagia and large uterine volume could be potential risk factors that increase the occurrence of moderate-to-severe LUTS.

Indexed as

AdenomyosisAdultBody Mass IndexFemaleHumansLogistic ModelsLower Urinary Tract SymptomsMaleMenorrhagiaMiddle AgedOrgan SizeQuality of LifeUterus

Identifiers

PMID28639570
PMCPMC5494918
OpenAlexW2716938156

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.