Evidence map›Paper›PMID 29434957›Full record

ArticleOncology letters2018

Experience-based surgical approach to pancreatic mucinous cystic neoplasms with ovarian-type stroma.

Chang Moo Kang, Akira Matsushita, Ho Kyoung Hwang, Yoko Matsuda, Hyunki Kim, Yoshiharu Nakamura, Woo Jung Lee

Abstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Rare tumours of the pancreas: monocentric study.Journal of cancer research and clinical oncology · 2024
    Article
  2. Article
  3. 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

7 authors.

Chang Moo KangDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Akira MatsushitaDepartment of Gastrointestinal and Hepato-Biliary-Pancreatic Surgery, Nippon Medical School, Tokyo 113-8603, Japan.
Ho Kyoung HwangDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Yoko MatsudaDepartment of Integrative Oncological Pathology, Nippon Medical School, Tokyo 113-8603, Japan.
Hyunki KimDepartment of Pathology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Yoshiharu NakamuraDepartment of Gastrointestinal and Hepato-Biliary-Pancreatic Surgery, Nippon Medical School, Tokyo 113-8603, Japan.
Woo Jung LeeDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to elucidate the clinicopathological characteristics of resected mucinous cystic neoplasm (MCN) with ovarian-type stroma and identify a surgical approach for MCN treatment, on the basis of Republic of Korean (Yonsei University College of Medicine, Seoul, South Korea) and Japanese (Nippon Medical School, Tokyo, Japan) bi-institutional collaboration. The present study retrospectively reviewed 55 MCNs with ovarian-type stroma using pathological re-examination. Clinicopathological features and preoperative clinical parameters were evaluated to predict malignant alterations in MCNs. The proportion of surgically treated MCNs has recently been increasing. All patients included in the present study were female, with a mean age of 47.9±13.3 years. Mural nodules were noted in 8 patients (14.5%) and the mean cyst size was 6.1±4.2 cm. A total of 9 patients (16.4%) were identified to exhibit non-invasive mucinous cystadenocarcinoma. The number of patients with small tumors (R

Indexed as

laparoscopicmucinous cystic neoplasmpancreatectomyrobotic

Identifiers

PMID29434957
PMCPMC5777367

What OpenQuestion holds

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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.