Evidence map›Paper›PMID 23975592›Full record

ArticleSurgery today2014

Detection of intrahepatic veno-venous shunts by three-dimensional venography using multidetector-row computed tomography during angiography.

Takanori Sakaguchi, Shohachi Suzuki, Takanori Hiraide, Yasushi Shibasaki, Yoshifumi Morita, Atsushi Suzuki, Kazuhiko Fukumoto, Keisuke Inaba, Yasuo Takehara, Hatsuko Nasu and 4 more

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Article in Surgery today, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Takanori SakaguchiSecond Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, 431-3192, Japan, saka1119@hama-med.ac.jp.
Shohachi Suzuki
Takanori Hiraide
Yasushi Shibasaki
Yoshifumi Morita
Atsushi Suzuki
Kazuhiko Fukumoto
Keisuke Inaba
Yasuo Takehara
Hatsuko Nasu
Mika Kamiya
Shuhei Yamashita
Takasuke Ushio
Hiroyuki Konno
Hamamatsu University · JPHamamatsu University School of Medicine · JPIwata City Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe hepatic vein (HV) can be removed during hepatectomy if there is an effective intrahepatic veno-venous shunt (vv-shunt). We evaluated the efficacy of vv-shunt detection by three-dimensional (3D) venography reconstructed from multidetector-row computed tomography (MDCT) during angiography.

methods3D venography was reconstructed using computer software in 88 patients with intrahepatic tumors.

resultsWe found that 12 patients had one shunt [4 right hepatic vein (RHV)-middle hepatic vein (MHV) and 12 RHV- inferior right hepatic vein (IRHV)] and 1 patient had 2 shunts (RHV-MHV and -IRHV), confirming a clinically efficient vv-shunt in 14.8% of the patients. In one patient with an RHV-IRHV shunt, the preserved RHV-IRHV shunt worked well and prevented congestion of the postero-caudal subsegment after central bisegmentectomy with partial resection of the RHV ventral trunk for huge hepatocellular carcinoma (HCC).

conclusionsAlthough the vv-shunt detection rate by 3D venography is low, a visualized vv-shunt proved to be efficient. Thus, invasive occlusion venography is avoidable if a vv-shunt is seen on 3D venography.

Indexed as

AdultAgedAged, 80 and overCarcinoma, HepatocellularCholangiocarcinomaFemaleHepatectomyHepatic VeinsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLiver NeoplasmsMaleMiddle AgedMultidetector Computed TomographyPhlebography

Identifiers

PMID23975592
OpenAlexW2044544503

What OpenQuestion holds

Textmetadata
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.