Evidence map›Paper›PMID 30656542›Full record

ArticleJapanese journal of radiology2019

Liver fibrosis assessment using 99mTc-GSA SPECT/CT fusion imaging.

Ryotaro Tokorodani, Tatsuaki Sumiyoshi, Takehiro Okabayashi, Yasuhiro Hata, Yoshihiro Noda, Sojiro Morita, Hiromitsu Daisaki, Yukinori Okada, Eisuke Yasuda

Abstract read
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Article in Japanese journal of radiology, 2019. 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
–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

4 citing papers in PubMed.

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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

9 authors.

Ryotaro TokorodaniDepartment of Radiological Technology, Kochi Health Sciences Center, Kochi, Japan.
Tatsuaki SumiyoshiDepartment of Gastroenterological Surgery, Kochi Health Sciences Center, 2125 Ike, Kochi, Japan. tasu050520@yahoo.co.jp.
Takehiro OkabayashiDepartment of Gastroenterological Surgery, Kochi Health Sciences Center, 2125 Ike, Kochi, Japan.
Yasuhiro HataDepartment of Radiology, Kochi Health Sciences Center, Kochi, Japan.
Yoshihiro NodaDepartment of Radiology, Kochi Health Sciences Center, Kochi, Japan.
Sojiro MoritaDepartment of Radiology, Kochi Health Sciences Center, Kochi, Japan.
Hiromitsu DaisakiDepartment of Gunma Prefectural College of Health Sciences, Maebashi, Japan.
Yukinori OkadaDepartment of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan.
Eisuke YasudaDepartment of Radiological Technology, Graduate School of Health Science, Suzuka University of Medical Science, Suzuka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the utility of mean standardized uptake value (SUV MATERIALS AND

methodsEighty-six patients who underwent hepatectomy were enrolled, and were classified into the non-fibrosis or fibrosis group based on the pathological findings in the resected liver specimen. Univariate and multivariate analyses were performed between the two groups on four blood biochemical indices (albumin, total bilirubin, platelet count, and prothrombin time activity) and two

resultsMultivariate analysis showed that prothrombin time activity [odds ratio (OR) 0.519], LHL

conclusionsSUV

Indexed as

RadiopharmaceuticalsTechnetium Tc 99m Aggregated AlbuminTechnetium Tc 99m PentetateAdultAgedAged, 80 and overFemaleHepatectomyHumansLiverLiver CirrhosisLiver Function TestsMaleMiddle AgedReproducibility of ResultsRetrospective StudiesRadiopharmaceuticalsTechnetium Tc 99m Aggregated Albumintechnetium Tc 99m DTPA-galactosyl-human serum albuminTechnetium Tc 99m PentetateLiver fibrosisStandardized uptake valueTc-99m-diethylenetriamine-penta-acetic acid-galactosyl human serum albumin single-photon-emission computed tomography

Identifiers

PMID30656542

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.