Evidence map›Paper›PMID 38386224›Full record

ReviewJournal of robotic surgery2024

Role of minimally invasive surgery in the management of localized pancreatic ductal adenocarcinoma: a review.

Rasha T Kakati, Samer Naffouje, Philip M Spanheimer, Fadi S Dahdaleh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 96% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Rasha T KakatiDepartment of Surgical Oncology, University of North Carolina, Chapel Hill, NC, USA.
Samer NaffoujeDepartment of Surgical Oncology, Cleveland Clinic Foundation, Cleveland, OH, USA.
Philip M SpanheimerDepartment of Surgical Oncology, University of North Carolina, Chapel Hill, NC, USA.
Fadi S DahdalehDepartment of Surgical Oncology, Edward-Elmhurst Health, 120 Spalding Drive, Ste 205, Naperville, IL, 60540, USA. Fadi.Dahdaleh@EEHealth.org.
University of North Carolina at Chapel Hill · USCleveland Clinic · USEdward Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains a highly lethal malignancy with a minority of patients eligible for curative-intent surgical intervention. Pancreatic resections are technically demanding operations associated with considerable morbidity and mortality. Minimally invasive pancreatic resections (MIPRs), which include laparoscopic and robotic approaches, may enhance postoperative outcomes by lessening physiological impact of open surgery. A limited number of randomized-controlled trials as well as numerous retrospective reports have focused on MIPR outcomes and role in management of a variety of tumors, including PDAC. Today, MIPRs are generally considered acceptable alternatives to open surgery as a trend towards improved short-term metrics is observed. However, several questions remain regarding the oncological adequacy of MIPR's as long-term experience is less extensive compared to open techniques. This review aims to summarize existing evidence on MIPRs with a focus on PDAC.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsRobotic Surgical ProceduresHumansMinimally Invasive Surgical ProceduresRandomized Controlled Trials as TopicRetrospective StudiesLaparoscopyMinimally invasive pancreatectomyOutcomesPancreatic cancerRobotic surgery

Identifiers

PMID38386224
OpenAlexW4392047531

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.