Evidence map›Paper›PMID 34754863›Full record

ArticleWorld journal of clinical cases2021

Rupture of ovarian endometriotic cyst complicated with endometriosis: A case report.

Lu Wang, Yan-Jiao Jiang

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2021. 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
0.4field-weighted citation impact, top 33% 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, 4 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Lu WangDepartment of Gynecology, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, Zhejiang Province, China.
Yan-Jiao JiangDepartment of Gynecology, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, Zhejiang Province, China. 1403699722@qq.com.
The Third Affiliated Hospital of Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometriosis (EMs), an estrogen-dependent disease, refers to the appearance of mucosa-covered endometrial tissues (glandular and interstitial) growing in the uterine cavity outside the uterine myometrium. It is commonly seen in women aged 25 to 45, with an incidence of approximately 10%-15%. CASE SUMMARY: A 35-year-old unmarried female who denied a history of sex with an intact hymen had multiple dysmenorrhea and pain in the left lower abdomen that recurred during menstruation. Ultrasound examination revealed a dark cystic area measuring 4.9 cm × 4.6 cm on the left side with poor light transmittance, which suggested a left endometriotic cyst. The patient was treated with pain medications (four capsules t.i.d., p.o.). After one month, computed tomography of the abdomen and pelvis revealed a low-density focus measuring approximately 38 mm in diameter, a blurred mesentery fat plane in the pelvic cavity, and pelvic effusion. Ultrasound showed a complex echo density measuring 5.2 cm × 3.0 cm × 4.2 cm in the left ovarian area and a fluid sonolucent area with a depth of 2.0 cm in the pelvic cavity. Left ovarian cystectomy, electrocautery for endometriotic lesions, myomectomy, and pelvic adhesion lysis were performed under laparoscopy. The postoperative diagnosis was left ovarian chocolate cyst rupture and EMs (stage III, ovarian type, peritoneal type).

conclusionLaparoscopic surgery can safely control the symptoms of EMs and effectively eradicate the disease.

Indexed as

Case reportEndometriosisLaparoscopic surgeryOvaryRupture of endometriotic cyst

Identifiers

PMID34754863
PMCPMC8554428
OpenAlexW3204775254

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.