Evidence map›Paper›PMID 36979851›Full record

ArticleBiomedicines2023

Chronic Treatment with Somatostatin Analogues in Recurrent Type 1 Gastric Neuroendocrine Tumors.

Fernando Sebastian-Valles, Blanca Bernaldo Madrid, Carolina Sager, Elena Carrillo López, Sara Mera Carreiro, Laura Ávila Antón, Noelia Sánchez-Maroto García, Miguel Antonio Sampedro-Nuñez, Jose Ángel Díaz Pérez, Mónica Marazuela

Open access · goldFull text read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Gastric neuroendocrine neoplasms.Nature reviews. Disease primers · 2024
    Review
  4. 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

10 authors at 2 institutions in 1 country.

Fernando Sebastian-VallesEndocrinology and Nutrition Department, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autonoma de Madrid, 28006 Madrid, Spain.ORCID 0000-0002-4127-0483
Blanca Bernaldo MadridEndocrinology and Nutrition Department, Hospital Clínico San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
Carolina SagerEndocrinology and Nutrition Department, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autonoma de Madrid, 28006 Madrid, Spain.
Elena Carrillo LópezEndocrinology and Nutrition Department, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autonoma de Madrid, 28006 Madrid, Spain.
Sara Mera CarreiroEndocrinology and Nutrition Department, Hospital Clínico San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
Laura Ávila AntónEndocrinology and Nutrition Department, Hospital Clínico San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
Noelia Sánchez-Maroto GarcíaEndocrinology and Nutrition Department, Hospital Clínico San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
Miguel Antonio Sampedro-NuñezEndocrinology and Nutrition Department, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autonoma de Madrid, 28006 Madrid, Spain.
Jose Ángel Díaz PérezEndocrinology and Nutrition Department, Hospital Clínico San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain.
Mónica MarazuelaEndocrinology and Nutrition Department, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autonoma de Madrid, 28006 Madrid, Spain.ORCID 0000-0003-1158-9618
Hospital Universitario de La Princesa · ESInstituto de Investigación Sanitaria del Hospital Clínico San Carlos · ES

Funding

Comunidad de Madrid TIRONET2-CM, B2017/BMD-3724, iTIRONET P2022/BMD7379FEDERInstituto de Salud Carlos III PI22/01404NIMHD NIH HHS L60 MD007379Proyectos de Investigacion en Salud (FIS) PI19-00584
6 · The paper itself

Abstract

backgroundType 1 gastric neuroendocrine tumors (GC-1) represent an uncommon subtype of neoplasms. Endoscopic resection has been proposed as the treatment of choice; active surveillance may be performed in those smaller than 1 cm, while gastric surgery may be performed for those with frequent recurrences. The antiproliferative effect of somatostatin analogues (SSA) is well known, and their action on GC-1s has been postulated as a chronic treatment to reduce recurrence.

methodsA two-centered, retrospective, observational study that included nine patients (55.6% women) diagnosed with GC-1, receiving long-term treatment with SSA, with a median follow-up from baseline of 22 months, was undertaken. Endoscopic follow-up, extension study, and analytical values of chromogranin A (Cg A) and gastrin were collected.

resultsIn total, 88.9% of patients presented partial or complete response. Treatment with SSA was the only independent factor with a trend to prevent tumor recurrence (Odds Ratio 0.054;

conclusionsChronic treatment with SSA is a feasible option for recurrent GC-1s that are difficult to manage using endoscopy or gastrectomy. Randomized clinical trials to provide more scientific evidence are still needed.

Indexed as

gastric carcinoidsgastric neuroendocrine tumorslanreotideoctreotidesomatostatin analogs

Identifiers

PMID36979851
PMCPMC10045480
OpenAlexW4324053860

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read25
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.