Evidence map›Paper›PMID 37265491›Full record

ReviewFrontiers in medicine2023

New pattern of individualized management of chronic diseases: focusing on inflammatory bowel diseases and looking to the future.

Xi Guo, Liyang Cai, Yuchen Cao, Zining Liu, Jiexin Zhang, Danni Liu, Zhujun Jiang, Yanxia Chen, Min Fu, Zhaoxia Xia and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

11 authors.

Xi GuoZhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Liyang CaiZhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yuchen CaoZhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zining LiuThe First Clinical School of Southern Medical University, Guangzhou, Guangdong, China.
Jiexin ZhangThe Third Clinical School of Southern Medical University, Guangzhou, Guangdong, China.
Danni LiuZhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zhujun JiangThe Second Clinical Medical College, Tianjin Medical University, Tianjin, China.
Yanxia ChenZhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Min FuZhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zhaoxia XiaThe Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Guoguo YiThe Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-infectious chronic diseases, especially inflammatory bowel diseases (IBDs), hypertension, and diabetes mellitus, are characterized by a prolonged and multisystemic course, and their incidence increases annually, usually causing serious economic burden and psychological stress for patients. Therefore, these diseases deserve scientific and consistent disease management. In addition, the lack of a comprehensive "early disease clues tracking-personalized treatment system-follow-up" model in hospitals also exacerbates this dilemma. Based on these facts, we propose an individualized prediction management system for IBDs based on chronic diseases, focusing on the established IBDs-related prediction models and summarizing their advantages and disadvantages. We call on researchers to pay attention to the integration of models with clinical practice and the continuous correction of models to achieve truly individualized medical treatment for chronic diseases, thus providing substantial value for the rapid diagnosis and adequate treatment of chronic diseases such as IBDs, which follow the "relapse-remission" disease model, and realizing long-term drug use and precise disease management for patients. The goal is to achieve a new level of chronic disease management by scientifically improving long-term medication, precise disease management, and individualized medical treatment, effectively prolonging the remission period and reducing morbidity and disability rates.

Indexed as

chronic disease managementclosed-loop prediction modeldiagnostic prediction modelinflammatory bowel diseasenegative feedback

Identifiers

PMID37265491
PMCPMC10231387

What OpenQuestion holds

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LicenceCC BY
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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.