Evidence map›Paper›PMID 34318050›Full record

ArticleJTCVS techniques2020

Right upper lobe segmentectomy guided by simplified anatomic models.

Seshiru Nakazawa, Kimihiro Shimizu, Natsuko Kawatani, Kai Obayashi, Yoichi Ohtaki, Toshiteru Nagashima, Takashi Eguchi, Toshiki Yajima, Ken Shirabe

Abstract read
In one paragraph

Article in JTCVS techniques, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  7. Anatomy of the lung revisited by 3D-CT imaging.Video-assisted thoracic surgery · 2023
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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.

Seshiru NakazawaDepartment of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Kimihiro ShimizuDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Natsuko KawataniDepartment of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Kai ObayashiDepartment of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Yoichi OhtakiDepartment of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Toshiteru NagashimaDepartment of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Takashi EguchiDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Toshiki YajimaDepartment of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Ken ShirabeDepartment of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo standardize the technical strategy for right upper lobe (RUL) segmentectomy, we previously developed simplified 3-dimensional (3D) anatomic models that classify the RUL anatomy into 14 patterns according to the branching pattern of bronchi and veins. We aimed to study the surgical outcome of RUL segmentectomy guided by these simplified anatomic models.

methodsPatients were classified into the anatomic models, and the approach to the intersegmental veins was selected accordingly. The intersegmental vein and corresponding intersegmental plane were as follows: V

resultsThirty-four consecutive patients who underwent thoracoscopic RUL segmentectomy guided by simplified anatomic models between January 2016 and December 2019 at Gunma University were analyzed. All the patients were classified into a model: anterior + central Iab type (47%), anterior + central Ib type (41%), anterior II type (12%), or central III type (0%). The standard approaches to intersegmental veins were an anterior approach for V

conclusionsSegmentectomy guided by simplified anatomic models promotes anatomic classification, development of a standardized approach for segmental vein identification, and acceptable outcomes, which can facilitate the implementation of RUL segmentectomy.

Indexed as

3D, 3-dimensional3D-CTanatomic modelclassificationCT, computed tomographyright upper lobeRUL, right upper lobesegmentectomy

Identifiers

PMID34318050
PMCPMC8304484

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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.