Evidence map›Paper›PMID 35933369›Full record

ArticleBMC cancer2022

Composite scoring system and optimal tumor budding cut-off number for estimating lymph node metastasis in submucosal colorectal cancer.

Jeong-Ki Kim, Ye-Young Rhee, Jeong Mo Bae, Jung Ho Kim, Seong-Joon Koh, Hyun Jung Lee, Jong Pil Im, Min Jung Kim, Seung-Bum Ryoo, Seung-Yong Jeong and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. The oncogenic role of hypomethylated ZNF793 in gastric carcinoma: a focus on cell survival and stemness.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Adapting SAM to Histopathology Images for Tumor Bud Segmentation in Colorectal Cancer.Proceedings of SPIE--the International Society for Optical Engineering · 2024
    Article
  10. Few-shot Tumor Bud Segmentation Using Generative Model in Colorectal Carcinoma.Proceedings of SPIE--the International Society for Optical Engineering · 2024
    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

13 authors at 4 institutions in 4 countries.

Jeong-Ki Kim *Department of Surgery, Chung-Ang University Hospital, 06973, Seoul, Republic of Korea.
Ye-Young Rhee *Pathology Center, Seegene Medical Foundation, 05542, Seoul, Republic of Korea.
Jeong Mo BaeDepartment of Pathology, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Jung Ho KimDepartment of Pathology, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Seong-Joon KohDepartment of Internal Medicine, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Hyun Jung LeeDepartment of Internal Medicine, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Jong Pil ImDepartment of Internal Medicine, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Min Jung KimDepartment of Surgery, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Seung-Bum RyooDepartment of Surgery, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Seung-Yong JeongDepartment of Surgery, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Kyu Joo ParkDepartment of Surgery, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea.
Ji Won ParkDepartment of Surgery, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea. sowisdom@gmail.com.
Gyeong Hoon KangDepartment of Pathology, Seoul National University College of Medicine, 03080, Seoul, Republic of Korea. ghkang@snu.ac.kr.
Seoul National University · KRCancer Research Institute · USChung-Ang University · KRNational University College · PR

Funding

National Research Foundation of Korea 2021R1F1A1063000
6 · The paper itself

Abstract

backgroundTumor budding is associated with lymph node (LN) metastasis in submucosal colorectal cancer (CRC). However, the rate of LN metastasis associated with the number of tumor buds is unknown. Here, we determined the optimal tumor budding cut-off number and developed a composite scoring system (CSS) for estimating LN metastasis of submucosal CRC.

methodsIn total, 395 patients with histologically confirmed T1N0-2M0 CRC were evaluated. The clinicopathological characteristics were subjected to univariate and multivariate analyses. The Akaike information criterion (AIC) values of the multivariate models were evaluated to identify the optimal cut-off number. A CSS for LN metastasis was developed using independent risk factors.

resultsThe prevalence of LN metastasis was 13.2%. Histological differentiation, lymphatic or venous invasion, and tumor budding were associated with LN metastasis in univariate analyses. In multivariate models adjusted for histological differentiation and lymphatic or venous invasion, the AIC value was lowest for five tumor buds. Unfavorable differentiation (odds ratio [OR], 8.16; 95% confidence interval [CI], 1.80-36.89), lymphatic or venous invasion (OR, 5.91; 95% CI, 2.91-11.97), and five or more tumor buds (OR, 3.01; 95% CI, 1.21-7.69) were independent risk factors. In a CSS using these three risk factors, the rates of LN metastasis were 5.6%, 15.5%, 31.0%, and 52.4% for total composite scores of 0, 1, 2, and ≥ 3, respectively.

conclusionsFor the estimation of LN metastasis in submucosal CRC, the optimal tumor budding cut-off number was five. Our CSS can be utilized to estimate LN metastasis.

Indexed as

Colorectal NeoplasmsLymphatic VesselsHumansLymphatic MetastasisLymph NodesNeoplasm InvasivenessOdds RatioRetrospective StudiesRisk FactorsColorectal neoplasmHistopathologyLymph nodes metastasisTumor budding

Identifiers

PMID35933369
PMCPMC9357306
OpenAlexW4290087550

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.