Evidence map›Paper›PMID 38771340›Full record

ReviewChirurgie (Heidelberg, Germany)2024

[Local resection of small intestine neuroendocrine neoplasms (SI-NEN) : Current principles].

Elisabeth Maurer, Detlef K Bartsch

Abstract readReview
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In one paragraph

Review in Chirurgie (Heidelberg, Germany), 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
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.

  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

2 authors.

Elisabeth MaurerKlinik für Visceral‑, Thorax- und Gefäßchirurgie, Philipps-Universität Marburg, Baldingerstraße, 35043, Marburg, Deutschland. maurere@med.uni-marburg.de.
Detlef K BartschKlinik für Visceral‑, Thorax- und Gefäßchirurgie, Philipps-Universität Marburg, Baldingerstraße, 35043, Marburg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeuroendocrine tumors of the small bowel (small intestine neuroendocrine neoplasms, SI-NEN) are the most frequent tumors of the small intestine and approximately 30-40% are still surgically treatable with curative intent at the time of diagnosis. Certain surgical principles must be followed for optimal oncological outcomes and good postoperative quality of life.

methodsBased on international guidelines and own experiences, the locoregional surgical treatment of SI-NENs is presented.

resultsLocoregional SI-NENs should always be resected if technically feasible, as only this approach can achieve a long-term cure and even small primary tumors (< 10 mm) often already show lymphatic metastasis. The resectability of SI-NENs and their difficulty depend on the extent of lymphatic metastasis, which should be assessed based on preoperative imaging of the extent around the superior mesenteric artery. Currently, the surgical gold standard for SI-NENs is open surgery with bidigital palpation of the entire small intestine followed by primary tumor resection via small bowel segment resection, right hemicolectomy or ileocecal resection and vessel-sparing, and therefore organ-preserving lymphadenectomy (≥ 8 lymph nodes). The guidelines consider that laparoscopic or robotic approaches are justified only for early stages of SI-NENs.

conclusionGuideline-compliant surgical treatment of locoregional SI-NEN enables recurrence-free long-term survival with good quality of life.

Indexed as

Intestinal NeoplasmsIntestine, SmallNeuroendocrine TumorsHumansLaparoscopyLymph Node ExcisionQuality of LifeLymphadenectomyMultiple tumorsPrimary tumor resectionSmall intestine neuroendocrine neoplasmsVessel-sparing approach

Identifiers

What OpenQuestion holds

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Registered trials

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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.