Evidence map›Paper›PMID 37065780›Full record

ArticleOncology letters2023

Lymph node metastasis in T1 colorectal cancer: Risk factors and prediction model.

Shiki Fujino, Norikatsu Miyoshi, Masatoshi Kitakaze, Masayoshi Yasui, Masayuki Ohue, Hideki Osawa, Yoshihito Ide, Toshinori Sueda, Mitsuyoshi Tei, Takashi Takeda and 12 more

Open access · greenAbstract read
In one paragraph

Article in Oncology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 15 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

22 authors at 3 institutions in 1 country.

Shiki FujinoDepartment of Innovative Oncology Research and Regenerative Medicine, Osaka International Cancer Institute, Osaka, Osaka 541-8567, Japan.
Norikatsu MiyoshiDepartment of Innovative Oncology Research and Regenerative Medicine, Osaka International Cancer Institute, Osaka, Osaka 541-8567, Japan.
Masatoshi KitakazeDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Masayoshi YasuiDepartment of Surgery, Osaka International Cancer Institute, Osaka, Osaka, 541-8567, Japan.
Masayuki OhueDepartment of Surgery, Osaka International Cancer Institute, Osaka, Osaka, 541-8567, Japan.
Hideki OsawaDepartment of Surgery, Japan Community Health Care Organization Osaka Hospital, Osaka, Osaka 553-0003, Japan.
Yoshihito IdeDepartment of Surgery, Japan Community Health Care Organization Osaka Hospital, Osaka, Osaka 553-0003, Japan.
Toshinori SuedaDepartment of Surgery, Osaka Rosai Hospital, Sakai, Osaka 591-8025, Japan.
Mitsuyoshi TeiDepartment of Surgery, Osaka Rosai Hospital, Sakai, Osaka 591-8025, Japan.
Takashi TakedaDepartment of Surgery, Minoh City Hospital, Minoh, Osaka 562-0014, Japan.
Katsuki DannoDepartment of Surgery, Minoh City Hospital, Minoh, Osaka 562-0014, Japan.
Yozo SuzukiDepartment of Surgery, Toyonaka Municipal Hospital, Toyonaka, Osaka 560-8565, Japan.
Shingo NouraDepartment of Surgery, Toyonaka Municipal Hospital, Toyonaka, Osaka 560-8565, Japan.
Kenji OhshimaDepartment of Pathology, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Eiichi MoriiDepartment of Pathology, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Hidekazu TakahashiDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Mamoru UemuraDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Hirofumi YamamotoDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Kohei MurataDepartment of Gastroenterological Surgery, Kansai Rosai Hospital, Amagasaki, Hyogo 660-8511, Japan.
Yuichiro DokiDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Hidetoshi EguchiDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.
Clinical Study Group of Osaka University, Colorectal Cancer Treatment Group (CSGOCG)
Osaka University · JPOsaka Rosai Hospital · JPToyonaka Municipal Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoscopic resection is typically performed for early T1 stage colorectal cancer (T1 CRC). Additional surgery is subsequently recommended based on pathological findings; however, the current criteria may result in overtreatment. The present study aimed to re-examine the reported risk factors for lymph node (LN) metastasis in T1 CRC and develop a prediction model using a large multi-institutional dataset. In this retrospective study, the medical records of 1,185 patients with T1 CRC who underwent surgery between January 2008 and December 2020 were investigated. Slides pathologically re-assessable for additional risk factors were re-examined. A total of 251 patients with inadequate data were excluded, and 934 patients were randomly assigned at a ratio of 3:1 to the training and validation datasets. In the univariate analysis, left-sided CRC (P=0.003), deep submucosal invasion depth (P=0.005), poor histological grade (P=0.020), lymphatic invasion (P<0.001), venous invasion (P<0.001) and tumor budding grade 2/3 (P<0.001) were significant risk factors for LN metastasis. A nomogram predicting LN metastasis was developed using these variables, with an area under the received operating characteristic curve (AUC) of 0.786. The nomogram was validated using a validation set with an AUC of 0.721, indicating moderate accuracy. No LN metastases were observed in patients with <90 points using the nomogram; therefore, patients with a low nomogram score may avoid undergoing surgical resection. Prediction of LN metastasis using this developed nomogram may help identify patients who are at high-risk who require surgery.

Indexed as

colorectal cancerendoscopic resectionlymph node metastasismulti-institutional datasetnomogram

Identifiers

PMID37065780
PMCPMC10091474
OpenAlexW4366083081

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.