Evidence map›Paper›PMID 39678677›Full record

ArticleInternational journal of general medicine2024

Clinical Characteristics and Treatment of Middle-Aged and Elderly Patients with IBD in Shanghai, China.

Lin Mi, Ke Wang, Jianfeng Yao, Jianxia Ma, Yuan-Wen Chen, Qinglian Zeng, Kangwei Liu

Abstract read
In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Lin MiDepartment of Gastroenterology, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China.
Ke WangDepartment of Gastroenterology, Jinan Third People's Hospital, Jinan, Shandong Province, 250132, People's Republic of China.ORCID 0000-0002-3450-3103
Jianfeng YaoDepartment of Gastroenterology, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China.
Jianxia MaDepartment of Gastroenterology, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China.ORCID 0000-0002-7153-6051
Yuan-Wen ChenDepartment of Gastroenterology, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China.
Qinglian ZengDepartment of Gastroenterology, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China.
Kangwei LiuDepartment of Gastroenterology, Huadong Hospital, Fudan University, Shanghai, 200040, People's Republic of China.ORCID 0009-0004-8024-5450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: In order to better understand the incidence of IBD in China, we conducted a retrospective study to analyze the clinical information of IBD patients in Shanghai, China. Methods: From January 2014 to December 2021, patients diagnosed with IBD and hospitalized were enrolled. The demographic, clinical features, symptoms, laboratory tests and treatment data of the patients were retrospectively analyzed. Results: This study included 454 patients with UC and 333 patients with CD. The rate of hospitalization for IBD showed an escalating trend throughout the period, the number of hospitalizations was significantly higher in CD patients than in UC patients. The male patients had more complications than the female patients ( Conclusion: This study analyzed the incidence, characteristics and treatment of IBD patients in Shanghai, and provided evidence-based evidence for doctors to more effectively diagnose and treat IBD in the future.

Indexed as

clinical featuresCrohn’s diseaseinflammatory bowel diseasetreatmentulcerative colitis

Identifiers

PMID39678677
PMCPMC11646400

What OpenQuestion holds

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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.