Evidence map›Paper›PMID 31807175›Full record

ArticleOncology letters2019

Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis.

Dongjun Dai, Bingluo Zhou, Yiming Zhong, Hongchuan Jin, Xian Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Dongjun DaiDepartment of Medical Oncology, Sir Run Run Shaw Hospital Medical School, Zhejiang University, Hangzhou, Zhejiang 310016, P.R. China.
Bingluo ZhouDepartment of Medical Oncology, Sir Run Run Shaw Hospital Medical School, Zhejiang University, Hangzhou, Zhejiang 310016, P.R. China.
Yiming ZhongDepartment of Medical Oncology, Sir Run Run Shaw Hospital Medical School, Zhejiang University, Hangzhou, Zhejiang 310016, P.R. China.
Hongchuan JinLaboratory of Cancer Biology, Key Lab of Biotherapy, Sir Run Run Shaw Hospital Medical School, Zhejiang University, Hangzhou, Zhejiang 310016, P.R. China.
Xian WangDepartment of Medical Oncology, Sir Run Run Shaw Hospital Medical School, Zhejiang University, Hangzhou, Zhejiang 310016, P.R. China.
Sir Run Run Shaw Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to use a competing risk model to analyze the prognostic value of mucinous adenocarcinoma (MAC) in patients with colorectal cancer (CRC). An additional aim was to construct nomograms for estimating the 3- and 5-year overall survival (OS) and cancer specific survival (CSS) rates of patients with primary CRC with MAC. The data were extracted from the Surveillance, Epidemiology, and End Results database, and a Multivariate Cox model and competing risk model were applied to assess the OS and CSS. Cox-based and competing risk-based nomograms were constructed and internally validated by discrimination and calibration, using the bootstrapping method with 1,000 times replicates. A total of 13,035 MAC and 61,958 non-mucinous adenocarcinoma (NMAC) CRC patients were enrolled in the present study. Compared with NMAC, MAC patients had a poorer OS and CSS time in the overall population, and in subgroups that comprised metastatic, non-metastatic, male, site of sigmoid colon, rectosigmoid junction and rectal CRC cases (HR>1; P<0.05). The Cox and competing risk-based nomograms showed effective discrimination and calibration. In conclusion, MAC was associated with poor OS and CSS in patients with CRC of the distal colon and rectum. The nomograms of primary CRC patients with MAC may aid the identification of individual patients with a high risk of overall mortality and cancer-associated mortality within 3 or 5 years.

Indexed as

competing riskCRCMACnomogramsprognosis

Identifiers

PMID31807175
PMCPMC6876343
OpenAlexW2982571496

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.