Evidence map›Paper›PMID 29078525›Full record

ReviewJournal of visualized surgery2016

Minimally invasive central pancreatectomy and pancreatogastrostomy: current surgical technique and outcomes.

Sean M Ronnekleiv-Kelly, Ammar A Javed, Matthew J Weiss

Abstract readReview
In one paragraph

Review in Journal of visualized surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Annals of hepato-biliary-pancreatic surgery · 2020
    Article
  3. Article
  4. Article
  5. Application of End-to-end Anastomosis in Robotic Central Pancreatectomy.Journal of visualized experiments : JoVE · 2018
    Article
  6. Robotic central pancreatectomy.Journal of visualized surgery · 2017
    Review
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

3 authors.

Sean M Ronnekleiv-KellyDepartment of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ammar A JavedDepartment of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Matthew J WeissDepartment of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent improvements in imaging techniques and more frequent use of cross-sectional imaging have led to an increase in the identification of benign and low-grade lesions of the pancreas. Patients with resectable cancers are commonly treated by either a Whipple procedure or distal pancreatectomy (DP) based on the location of the tumor. Central pancreatectomy (CP) is a less commonly performed operation that has recently been utilized for resection of these now more frequently diagnosed low-grade and benign lesions located in the mid pancreas. Lesions that may have a relatively more indolent nature include branch-type intraductal papillary mucinous neoplasm (IPMNs), mucinous cystic neoplasms, neuroendocrine tumors, and solid pseudopapillary tumors. The goal of a CP is complete extirpation of the lesion, while preserving pancreatic parenchyma to reduce the risks of developing diabetes and exocrine insufficiency (EI). Although open CP has been shown to be safe and efficacious, the outcomes of a minimally invasive approach are still relatively underreported and therefore unknown. In this paper, we describe our surgical approach to performing a CP with an accompanying video demonstration of the key portions of the operation.

Indexed as

Central pancreatectomy (CP)minimally invasivepancreatogastrostomyrobotic surgery

Identifiers

PMID29078525
PMCPMC5638432

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.