Evidence map›Paper›PMID 34786136›Full record

ArticleAmerican journal of translational research2021

Heavy menstrual bleeding due to primary myelofibrosis in a woman: a case report.

Hui Li, Chao Li, Xinhe Shi, Mengting Xia

Open access · greenAbstract readCase Reports
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Hui LiDepartment of Gynaecology and Obstetrics, The First Affiliated Hospital of Zhejiang Chinese Medical University Hangzhou 310006, Zhejiang Province, China.
Chao LiDepartment of Gynaecology and Obstetrics, The First Affiliated Hospital of Zhejiang Chinese Medical University Hangzhou 310006, Zhejiang Province, China.
Xinhe ShiDepartment of Gynaecology and Obstetrics, The First Affiliated Hospital of Zhejiang Chinese Medical University Hangzhou 310006, Zhejiang Province, China.
Mengting XiaDepartment of Gynaecology and Obstetrics, The First Affiliated Hospital of Zhejiang Chinese Medical University Hangzhou 310006, Zhejiang Province, China.
Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy menstrual bleeding (HMB) due to primary myelofibrosis (PMF) is secondary to progressive pancytopenia, which is a rare and difficult to treat condition. We report this case with the aim of sharing our experiences and exploring a safe and effective way to treat patients with HMB due to PMF. A 40-year-old woman who had been taking combined oral contraceptives (COCs) for eight years was admitted to our hospital with HMB. A bone marrow biopsy report and genetic testing confirmed the diagnosis of PMF. Norethisterone tablets had an unsatisfactory hemostatic effect. The patient underwent a hysteroscopy and the insertion of a levonorgestrel intrauterine system (LNG-IUS). At the 5-month follow-up, the patient had a lower menstruation bleeding volume. COCs are unsuitable for managing the menstruation of patients with PMF in the long run. Endometrial ablation is the long-term method. However, the patient's fertility requirements should be taken into account. The insertion of an LNG-IUS after hysteroscopic curettage to exclude endometrial malignant lesions is recommended.

Indexed as

COCsendometrial ablationheavy menstrual bleedingLNG-IUSprimary myelofibrosis

Identifiers

PMID34786136
PMCPMC8581911
OpenAlexW3212172326

What OpenQuestion holds

Textmetadata
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.