Evidence map›Paper›PMID 38780807›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

The value of combined MRI, enhanced CT and

Yong Hong, Jianfeng Peng, Yanni Zeng, Xuewen Deng, Wanjun Xu, Juanting Wang

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. 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
–field-weighted citation impact
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. 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

6 authors.

Yong HongDepartment of Radiology, Huadu District People's Hospital of Guangzhou, 48 Xinhua Road, Huadu District, Guangzhou, 510800, China. Hongyong6326@163.com.ORCID http://orcid.org/0009-0002-6971-6659
Jianfeng PengDepartment of Radiology, Huadu District People's Hospital of Guangzhou, 48 Xinhua Road, Huadu District, Guangzhou, 510800, China.
Yanni ZengDepartment of Radiology, Huadu District People's Hospital of Guangzhou, 48 Xinhua Road, Huadu District, Guangzhou, 510800, China.
Xuewen DengDepartment of Radiology, Huadu District People's Hospital of Guangzhou, 48 Xinhua Road, Huadu District, Guangzhou, 510800, China.
Wanjun XuDepartment of Radiology, Huadu District People's Hospital of Guangzhou, 48 Xinhua Road, Huadu District, Guangzhou, 510800, China.
Juanting WangDepartment of Radiology, Huadu District People's Hospital of Guangzhou, 48 Xinhua Road, Huadu District, Guangzhou, 510800, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this article was to investigate the value of combined MRI, enhanced CT and

methodsNinety-five ovarian cancer patients were selected as the study subjects, all of them underwent surgical treatment, and MRI, enhanced CT and

resultsThe sensitivity, specificity, accuracy, positive predictive value and negative predictive value of the combined group were higher than those of MRI and enhanced CT for recurrence and metastasis of ovarian cancer after surgery, and the specificity, accuracy and positive predictive value of the combined group were higher than those of the

conclusionThe combination of MRI, enhanced CT and

Indexed as

Fluorodeoxyglucose F18Magnetic Resonance ImagingNeoplasm Recurrence, LocalOvarian NeoplasmsPositron Emission Tomography Computed TomographyRadiopharmaceuticalsTomography, X-Ray ComputedAdultAgedFemaleHumansMiddle AgedNeoplasm MetastasisPrognosisSensitivity and SpecificityFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTDiagnostic valueEnhanced CTMRIOvarian cancerPostoperative recurrence

Identifiers

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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.