Evidence map›Paper›PMID 28434080›Full record

ArticleSurgery today2017

Predictive risk factors for peritoneal recurrence after pancreatic cancer resection and strategies for its prevention.

Kyohei Ariake, Fuyuhiko Motoi, Hideo Ohtsuka, Koji Fukase, Kunihiro Masuda, Masamichi Mizuma, Hiroki Hayashi, Kei Nakagawa, Takanori Morikawa, Shimpei Maeda and 4 more

Abstract read
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In one paragraph

Article in Surgery today, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 18-Fluorodeoxyglucose Positron Emission Tomography Predicts Recurrence in Resected Pancreatic Ductal Adenocarcinoma.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2018
    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

14 authors.

Kyohei AriakeDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan. ariake@surg1.med.tohoku.ac.jp.
Fuyuhiko MotoiDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Hideo OhtsukaDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Koji FukaseDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Kunihiro MasudaDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Masamichi MizumaDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Hiroki HayashiDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Kei NakagawaDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Takanori MorikawaDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Shimpei MaedaDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Tatsuyuki TakadateDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Takeshi NaitohDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Shinichi EgawaDivision of International Cooperation for Disaster Medicine, Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Michiaki UnnoDepartment of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the risk factors for peritoneal recurrence (PR) of pancreatic adenocarcinoma and to discuss the appropriate management strategies.

methodsWe reviewed the medical records of 236 patients who underwent pancreatectomy for pancreatic adenocarcinoma. We then compared the clinicopathological characteristics of patients with vs. those without PR. The independent risk factors for PR were defined using the Cox proportional hazards regression model.

resultsThe median survival of patients with PR was 13.3 months after surgical treatment. The PR group had a significantly higher incidence of portal vein resection, longer operative time (≥648 min), greater blood loss (≥2179 mL), blood transfusion, tumor size, portal vein invasion, artery invasion, pancreatic nerve plexus invasion, and histological grade. Multivariate analysis revealed that excessive blood loss (≥2179 mL; P = 0.010), artery invasion (P = 0.025), pancreatic nerve plexus invasion (P = 0.001), and histological grade 3 (P = 0.011) were independent risk factors for PR. Excessive blood loss was also strongly related to tumor size (P = 0.018).

conclusionsLocal invasion and tumor size-related factors suggested the possibility of intraoperative dissemination at the time of tumor resection. Preoperative treatment and an operative procedure to prevent tumor exposure may help prevent PR.

Indexed as

PancreatectomyPeritoneumAdenocarcinomaAgedArteriesBlood Loss, SurgicalBlood TransfusionFemaleHumansMaleNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingOperative TimePancreasPancreatic NeoplasmsLocally advanced pancreatic cancerPancreatic cancerPeritoneal recurrence

Identifiers

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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.