Evidence map›Paper›PMID 29390568›Full record

ArticleMedicine2017

Uterine fibroids with positive 18F-FDG PET/CT image and significantly increased CA19-9: A case report.

Yan Ma, Xiaonan Shao

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 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
0.7field-weighted citation impact, top 26% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

2 authors at 1 institution in 1 country.

Yan MaGynecological Department Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xiaonan Shao
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleUterine fibroids are the most common pelvic solid tumors and common to 25% of women. F-fluorodexyglucose (F-FDG) is an energy metabolism tracer. Although FDG is generally concentrated in malignant lesions with high glucose metabolism, it can also accumulate in normal tissues, benign lesions, and inflammatory sites. The exact mechanism of FDG uptake by uterine fibroids is not clear. Here, we report a case of uterine fibroids with positive F-FDG positron emission tomography/computed tomography (PET/CT) imaging and significantly increased CA19-9. PATIENTS CONCERNS: The patient was a 43-year-old woman and admitted to our hospital because of "1-year-extended menstrual periods." At admission, she had normal CA125, AFP, and CEA level and CA19-9>1000.00 U/mL. Gynecological transvaginal ultrasound found enlarged uterus with an anterior hypoechoic area of 3.9 × 4.2 cm. CT and contrast-enhanced CT showed significantly enhanced mass shadow on the left anterior wall of uterus. F-FDG PET/CT showed increased FDG metabolism of tumor in the anterior wall of the uterus.

interventionsLaparoscopic hysterectomy was performed. DIAGNOSIS: Pathological examination demonstrated subserosal leiomyoma. OUTCOMES: Her CA19-9 level dropped to 91.50 U/mL 1 day after surgery. LESSONS: Significantly elevated CA19-9 was positioned in the uterus by PET/CT imaging, which not only avoided unnecessary gastrointestinal endoscopy and reduced the suffering of patients, but also strengthened the operation confidence in gynecologists.

Indexed as

AdultAntigens, Tumor-Associated, CarbohydrateFemaleFluorodeoxyglucose F18HumansLeiomyomaPositron Emission Tomography Computed TomographyAntigens, Tumor-Associated, Carbohydratecarbohydrate antigen 199, humanFluorodeoxyglucose F18

Identifiers

PMID29390568
PMCPMC5758270
OpenAlexW2780375287

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.