Evidence map›Paper›PMID 31286253›Full record

ArticleSurgical endoscopy2020

Long-term health-related quality of life following robot-assisted radical transmediastinal esophagectomy.

Kotaro Sugawara, Shuntaro Yoshimura, Koichi Yagi, Masato Nishida, Susumu Aikou, Yukinori Yamagata, Kazuhiko Mori, Hiroharu Yamashita, Yasuyuki Seto

Abstract read
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Article in Surgical endoscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  15. Health-related quality of life after esophagectomy in patients with esophageal cancer.Esophagus : official journal of the Japan Esophageal Society · 2022
    Review
  16. Outcomes of robotic esophagectomy.Journal of thoracic disease · 2021
    Review
  17. Current status and challenges in sentinel node navigation surgery for early gastric cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2021
    Article
  18. Review
  19. Article
  20. 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

9 authors.

Kotaro SugawaraDepartment of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.ORCID http://orcid.org/0000-0002-3272-1748
Shuntaro YoshimuraDepartment of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Koichi YagiDepartment of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Masato NishidaDepartment of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Susumu AikouDepartment of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Yukinori YamagataDepartment of Gastric Surgery, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.
Kazuhiko MoriDepartment of Gastrointestinal Surgery, Mitsui Memorial Hospital, Tokyo, Japan.
Hiroharu YamashitaDepartment of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Yasuyuki SetoDepartment of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. seto-tky@umin.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe good short-term and oncological outcomes of robot-assisted radical esophagectomy have been demonstrated, although its impact on long-term health-related quality of life (HRQoL) remains to be investigated. This study aimed to assess long-term HRQoL in patients after robot-assisted radical transmediastinal esophagectomy (TME), which is characterized as non-transthoracic esophagectomy comprising a robotic transhiatal approach and a video-assisted cervical approach, and transthoracic esophagectomy (TTE).

methodsThe European Organization for Research and Treatment of Cancer generic and disease-specific modules (QLQ-C30 and QLQ-OES18), nutritional status and body composition data were prospectively collected in patients undergoing TME or TTE before and at 3, 6, 12, 18, and 24 months after surgery. The results of long-term (≥ 2 years) survivors without recurrence were compared between the two groups.

resultsA total of 37 patients (TME; n = 18, TTE; n = 19) were included for analysis. Longitudinal survey of function scales revealed scores of physical, role, social, and emotional function to be significantly better in the TME group than in the TTE group at many points postoperatively. Markedly, the symptoms of general pain, esophageal pain, and dry mouth greatly worsened after surgery in the TTE group, but did not deteriorate in the TME group. In contrast, symptoms relating to eating difficulties, body composition data, and nutritional status did not differ between the groups over time. At 24 months after surgery, TME provided significantly higher scores of global QOL (P = 0.01) and emotional function (P = 0.01) and also resulted in significantly fewer problems of fatigue (P = 0.04), general pain (P = 0.04), insomnia (P = 0.02), and dry mouth (P = 0.03), as compared to TTE.

conclusionThis study indicates that TME can provide better long-term HRQoL outcomes than TTE.

Indexed as

Quality of LifeAdultAgedAged, 80 and overBody CompositionEmotionsEsophageal NeoplasmsEsophagectomyFatigueFemaleHumansLongitudinal StudiesMaleMiddle AgedNutritional StatusPostoperative PeriodEsophageal carcinomaHealth-related quality of lifeRobot-assisted transmediastinal esophagectomy

Identifiers

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Read underepoch 390

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.