Evidence map›Paper›PMID 24803802›Full record

ReviewWorld journal of gastroenterology2014

Laparoscopic resection of pancreatic neuroendocrine tumors.

Abbas Al-Kurd, Katya Chapchay, Simona Grozinsky-Glasberg, Haggi Mazeh

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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  16. Minimally invasive surgical approach to pancreatic malignancies.World journal of gastrointestinal oncology · 2015
    Review
  17. [Complications of minimally invasive pancreas resection for pancreatic neuroendocrine tumors].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2015
    Review
  18. 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

4 authors at 1 institution in 1 country.

Abbas Al-KurdAbbas Al-Kurd, Katya Chapchay, Haggi Mazeh, Department of Surgery, Hadassah-Hebrew University Medical Center, Mount Scopus, Jerusalem 91240, Israel.
Katya ChapchayAbbas Al-Kurd, Katya Chapchay, Haggi Mazeh, Department of Surgery, Hadassah-Hebrew University Medical Center, Mount Scopus, Jerusalem 91240, Israel.
Simona Grozinsky-GlasbergAbbas Al-Kurd, Katya Chapchay, Haggi Mazeh, Department of Surgery, Hadassah-Hebrew University Medical Center, Mount Scopus, Jerusalem 91240, Israel.
Haggi MazehAbbas Al-Kurd, Katya Chapchay, Haggi Mazeh, Department of Surgery, Hadassah-Hebrew University Medical Center, Mount Scopus, Jerusalem 91240, Israel.
Hadassah Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic neuroendocrine tumors (PNETs) are a rare heterogeneous group of endocrine neoplasms. Surgery remains the best curative option for this type of tumor. Over the past two decades, with the development of laparoscopic pancreatic surgery, an increasingly larger number of PNET resections are being performed by these minimally-invasive techniques. In this review article, the various laparoscopic surgical options for the excision of PNETs are discussed. In addition, a summary of the literature describing the outcome of these treatment modalities is presented.

Indexed as

LaparoscopyHumansNeuroendocrine TumorsPancreatectomyPancreatic NeoplasmsPostoperative ComplicationsRisk FactorsTreatment OutcomeLaparoscopic resection of gastrointestinalLaparoscopyPancreatic neuroendocrine tumorSurgery

Identifiers

PMID24803802
PMCPMC4009522
OpenAlexW2079057705

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.