Evidence map›Paper›PMID 33987318›Full record

ArticleAnnals of translational medicine2021

Development and validation of a novel prognostic nomogram including tumor deposits could better predict survival for colorectal cancer: a population-based study.

Rui Bai, Yinuo Tan, Dan Li, Mengyuan Yang, Linzhen Yu, Ying Yuan, Xuefeng Fang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

7 authors at 1 institution in 1 country.

Rui BaiDepartment of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yinuo TanDepartment of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Dan LiDepartment of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Mengyuan YangDepartment of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Linzhen YuDepartment of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Ying YuanDepartment of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xuefeng FangDepartment of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of tumor deposits (TDs) in colorectal cancer (CRC) prognosis remains debated. We evaluated whether the number of TDs affects prognosis in stage III CRC patients.

methodsUnivariate and multivariate analyses were performed with Cox proportional hazards models. The Kaplan-Meier method was used to estimate survival curves. The best cutoff was determined using X-Tile. Patients were 1:1 randomly divided into the training set or the testing set. Prognostic nomogram was established for stage III CRC patients. Concordance index (C-index) and calibration plot were used to assess Nomogram models.

resultsIn total, 18,043 (84.69%) CRC patients without TDs and 3,263 (15.31%) patients with TDs were analyzed. Patients with TDs had significantly worse cancer-specific survival (CSS) rates (P<0.001). The number of TDs is an independent factor for the CSS of stage III CRC patients. CSS nomogram of stage III CRC patients was constructed based on race, age at diagnosis, tumor location, histological grade, pathological type, T, N, TDs, chemotherapy. In training set, C-index for CSS nomogram 0.762 (95% CI: 0.752-0.772). In testing set, the C-index for CSS nomogram 0.759 (95% CI: 0.749-0.768). The quality of calibration plots of nomogram models was high.

conclusionsThe presence of TDs is an independent risk prognostic factor for stage III CRC. The number of TDs had a high proportion of prognostic impact.

Indexed as

Colorectal cancer (CRC)nomogramprognosisstage IIItumor deposits (TDs)

Identifiers

PMID33987318
PMCPMC8106036
OpenAlexW3137378167

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.