Evidence map›Paper›PMID 32240178›Full record

ArticlePloS one2020

Prevalence and knowledge of heavy menstrual bleeding among gynecology outpatients by scanning a WeChat QR Code.

Sisi Su, Xin Yang, Qing Su, Yang Zhao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Sisi SuDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Xin YangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-3275-2560
Qing SuDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Yang ZhaoDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to assess menstrual blood loss (MBL) and knowledge of heavy menstrual bleeding (HMB) among the gynecology outpatients at Peking University People's Hospital, by scanning a WeChat (a social media application software developed by Tencent) QR Code using a mobile phone or tablet. This survey was conducted among outpatients who were treated at the Gynecology Department of Peking University People's Hospital between September 2016 and November 2016. All participants filled up the questionnaires and scales through WeChat: general information questionnaire, Pictorial Blood Loss Assessment Chart (PBAC), Menorrhagia Multi-Attribute Quality-of-Life Scale (MMAS), and HMB knowledge questionnaire. Menstrual blood volume was assessed by the PBAC and self-assessment. Among the 1152 patients who filled out the survey, 77.4% (892/1152) had normal menstrual cycle (assessed by the patients), 15.6% (180/1152) patients described themselves as HMB, whereas the results from PBAC showed that 58.0% (668/1152) had HMB (PBAC ≥100). Among patients with PBAC ≥100, only 26.8% (179/668) patients reported HMB through self-assessment. Regarding its impact on daily life, the MMAS scores of HMB patients (PBAC ≥100) were significantly lower compared to those with normal blood loss (P<0.001). Regarding the awareness to HMB, 63.2% (728/1152) of the patients were not familiar with HMB. HMB is a common abnormal uterine bleeding and is frequently found among Chinese gynecology outpatients. HMB has major impacts on a woman's quality of life, affecting both physical and emotional health domains. Since women generally have low levels of awareness and understanding of HMB, they could assess their blood loss using the PBAC, which they can forward to their health care provider using a mobile phone or tablet and the WeChat platform. This tool may be effortlessly used by the health care providers and patients to easily share HMB-related data.

Indexed as

Diagnostic Self EvaluationHealth Knowledge, Attitudes, PracticeSoftwareAdultCell PhoneChinaFemaleHumansMenorrhagiaMenstruationMiddle AgedOutpatientsPrevalenceQuality of LifeSurveys and QuestionnairesTelemedicine

Identifiers

PMID32240178
PMCPMC7117654
OpenAlexW3014304542

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.