Evidence map›Paper›PMID 32150047›Full record

ArticleMedicine2020

Dermoid cyst with secretion of CA 19-9 detected by 18F-FDG PET/CT: A case report.

Sheng-Che Lin, Ruoh-Fang Yen, Yen-Kung Chen

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2020. 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
0.3field-weighted citation impact, top 44% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontotemporal giant extradural dermoid cyst: illustrative case.Journal of neurosurgery. Case lessons · 2023
    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

3 authors at 3 institutions in 2 countries.

Sheng-Che LinDepartment of Nuclear Medicine and PET Center, Shin Kong Wu Ho-Su Memorial Hospital.
Ruoh-Fang YenDepartment of Nuclear Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Yen-Kung ChenDepartment of Nuclear Medicine and PET Center, Shin Kong Wu Ho-Su Memorial Hospital.
Fu Jen Catholic University · TWMemorial Hospital · USNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCarbohydrate antigen 19-9 (CA 19-9) is a tumor glycolipid, frequently elevated in the serum of patients due to malignancies from gastrointestinal organs; in particular, the pancreas. This carbohydrate antigen is also expressed in benign diseases. PATIENT CONCERNS: A case of a 27-year-old female who has an unknown origin CA 19-9 elevation for 2 years. DIAGNOSIS: After the left ovarian cystectomy and microscopic examination, the final diagnosis is a dermoid cyst. The dermoid cyst shows increased F-fluorodeoxyglucose (F-FDG) uptake in the F-FDG positron emission tomography (PET)/computed tomography (CT) study. INTERVENTION AND OUTCOMES: The laparoscopic oophorocystectomy was performed. It was observed that the patient's CA 19-9 level returned to normal after the surgery 6 months later. This showed that the dermoid cyst was responsible for the abnormal CA 19-9 level.

conclusionIn this case, we can learn that the F-FDG PET/CT scan has potential use in patients with unknown origin of elevation CA 19-9.

Indexed as

AdultBiomarkers, TumorCA-19-9 AntigenDermoid CystDiagnosis, DifferentialFemaleFluorodeoxyglucose F18HumansOvarian CystsOvariectomyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsBiomarkers, TumorCA-19-9 AntigenFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID32150047
PMCPMC7478788
OpenAlexW3012471056

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.