Evidence map›Paper›PMID 36301375›Full record

ArticleInternational journal of colorectal disease2022

Clinicopathological characteristics and prognostic factors of elderly small intestine adenocarcinoma using propensity score matching analysis: a study based on SEER database.

Qiu-Yan Liu, Ling Xie, Xiao-Yun Yang, Lei Yang, Xiao-Lin Lei

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Article in International journal of colorectal disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

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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

1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Qiu-Yan LiuDepartment of Oncology, Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China.
Ling XieDepartment of Oncology, Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China.
Xiao-Yun YangDepartment of Oncology, Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China.
Lei YangDepartment of Oncology, Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China.
Xiao-Lin LeiDepartment of Oncology, Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China. 2428086827@qq.com.
Panzhihua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall intestine adenocarcinoma (SIA) is a scant disease that has no adequate clinical trials, so its prognostic factors are still unclear, especially in elderly patients. In this article, we aimed to explore the clinicopathology presentation, treatments, outcomes, and predictors of small intestine adenocarcinoma patients aged 65 years or older.

methodsWe retrieved clinicopathology data of small intestine adenocarcinoma patients diagnosed between 2004 and 2015 from the Surveillance Epidemiology and End Results (SEER) database. We clarified patients into two groups: the surgery and the non-surgery group and conducted propensity score matching (PSM) to compare survival outcoming. We identified the prognostic indicators for cancer-specific survival (CSS) and overall survival (OS) by the Cox proportional hazards model.

resultsIn total, 1018 eligible cases were enrolled, with a median survival of 16 months; the 3-year OS and CSS rates were 36% and 41.7%, and the 5-year OS and CSS rates were 26.5% and 33.3%. Multivariate analyses revealed that age, grade, tumor stage, surgery, and chemotherapy were independent prognostic factors for OS, while grade, tumor stage, surgery, radiation, and chemotherapy were independent factors for CSS. After PSM, only surgery and tumor stage (AJCC 6th) were independent prognostic factors for OS and CSS.

conclusionSurgery could bring benefit to survival for elderly SIA patients, and the early stage of the disease was another significant prognostic factor.

Indexed as

AdenocarcinomaAgedHumansIntestine, SmallNeoplasm StagingPrognosisPropensity ScoreSEER ProgramElderly small intestine adenocarcinomaSurgerySurveillance Epidemiology and End Results (SEER)

Identifiers

PMID36301375
OpenAlexW4307429384

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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.