Evidence map›Paper›PMID 39214875›Full record

ArticleSurgical endoscopy2024

Endoscopic therapy versus surgical resection for elderly patients with colorectal neuroendocrine tumors.

Yunfu Feng, Luojie Liu

Abstract readComparative Study
In one paragraph

Article in Surgical endoscopy, 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.

Yunfu FengDepartment of Endoscopy Center, The First People's Hospital of Kunshan, Suzhou, China.
Luojie LiuDepartment of Gastroenterology, Changshu Hospital Affiliated to Soochow University, Suzhou, China. luojieliu@126.com.ORCID 0000-0003-1806-5155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndoscopic therapy (ET) and surgical resection (SR) are common surgical methods for the treatment of colorectal neuroendocrine tumors (CRNETs). However, for elderly patients, it remains unclear which surgical method yields better long-term outcomes.

methodsElderly patients ≥ 65 years with CRNETs diagnosed from 2000 to 2020 were identified from the Surveillance, Epidemiology, and End Results database. Propensity score matching (PSM) was used to minimize selection bias. The Kaplan-Meier method and Cox proportional hazards models were utilized to evaluate the effects of diverse demographic and clinical factors on overall survival (OS) and cancer-specific survival (CSS).

resultsA total of 2214 patients were included in the study, with 1417 patients in the ET group and 797 patients in the SR group. After PSM, the ET group outperformed the SR group in terms of OS (hazard ratio [HR] 0.56, 95% confidence interval [CI] 0.44-0.70) and CSS (HR 0.21, 95% CI 0.11-0.40). Similarly, the ET group maintained its advantage in mean 1-, 3-, and 5-year OS and CSS rates compared to the SR group (P < 0.001). Multivariate Cox regression analysis identified age, sex, grade, marital status, and treatment modality as independent risk factors affecting OS, while age, sex, marital status, and treatment modality were identified as independent risk factors affecting CSS.

conclusionsET offered superior long-term outcomes for elderly patients ≥ 65 years with CRNETs.

Indexed as

Colorectal NeoplasmsNeuroendocrine TumorsAgedAged, 80 and overColonoscopyFemaleHumansKaplan-Meier EstimateMalePropensity ScoreProportional Hazards ModelsRetrospective StudiesSEER ProgramSurvival RateTreatment OutcomeColorectal neuroendocrine tumorsElderly patientsEndoscopic therapyLong-term outcomesSurgical resection

Identifiers

PMID39214875
PMCPMC11525421

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.