Evidence map›Paper›PMID 33230441›Full record

ArticleMolecular therapy. Nucleic acids2020

An Interpretable Prediction Model for Identifying N

Yue Bi, Dongxu Xiang, Zongyuan Ge, Fuyi Li, Cangzhi Jia, Jiangning Song

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
8.9field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 168 citations in OpenAlex.

  1. Differentiation of Benign and Malignant Cervical Lymph Nodes Using a Multi-Modal Ultrasound-Based Machine Learning Model With SHAP Interpretability.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
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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

6 authors at 2 institutions in 2 countries.

Yue BiSchool of Science, Dalian Maritime University, Dalian 116026, China.
Dongxu XiangMonash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
Zongyuan GeMonash e-Research Centre and Faculty of Engineering, Monash University, Melbourne, VIC 3800, Australia.
Fuyi LiMonash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
Cangzhi JiaSchool of Science, Dalian Maritime University, Dalian 116026, China.
Jiangning SongMonash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia.
Monash University · AUDalian Maritime University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have increasingly shown that the chemical modification of mRNA plays an important role in the regulation of gene expression. N

Indexed as

ENACfeature selectionm7Gmachine learningmodel interpretationN7-MethylguanosinepredictionSCPseDNCSHAPXGBoost

Identifiers

PMID33230441
PMCPMC7533297
OpenAlexW3080211037

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.