Evidence map›Paper›PMID 37850180›Full record

ArticleBME frontiers2022

Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning.

Hailing Liu, Yu Zhao, Fan Yang, Xiaoying Lou, Feng Wu, Hang Li, Xiaohan Xing, Tingying Peng, Bjoern Menze, Junzhou Huang and 4 more

Open access · diamondAbstract read
In one paragraph

Article in BME frontiers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-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

12 citing papers in PubMed, 19 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

14 authors at 7 institutions in 4 countries.

Hailing Liu *Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China.ORCID https://orcid.org/0000-0002-6659-7968
Yu Zhao *AI Lab, Tencent, Shenzhen 518057China.
Fan Yang *AI Lab, Tencent, Shenzhen 518057China.ORCID https://orcid.org/0000-0002-1245-1197
Xiaoying LouDepartment of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China.
Feng WuDepartment of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China.
Hang LiAI Lab, Tencent, Shenzhen 518057China.ORCID https://orcid.org/0000-0002-5007-6033
Xiaohan XingAI Lab, Tencent, Shenzhen 518057China.
Tingying PengInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg 85764, Germany.ORCID https://orcid.org/0000-0002-7881-1749
Bjoern MenzeDepartment of Computer Science, Technical University of Munich, Munich 85748, Germany.
Junzhou HuangAI Lab, Tencent, Shenzhen 518057China.
Shujun ZhangDepartment of Pathology, The Fourth Hospital of Harbin Medical University, Harbin 150001, China.
Anjia HanDepartment of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0003-3357-5348
Jianhua YaoAI Lab, Tencent, Shenzhen 518057China.
Xinjuan FanDepartment of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China.
Sun Yat-sen University · CNTencent (China) · CNChinese University of Hong Kong · HKHarbin Medical University · CNHelmholtz Zentrum München · DEUniversity of Zurich · CHXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID37850180
PMCPMC10521754
OpenAlexW4220997858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.