Evidence map›Paper›PMID 39091412›Full record

ArticleExperimental and therapeutic medicine2024

ITIH1 suppresses carcinogenesis in renal cell carcinoma through regulation of the NF‑κB signaling pathway.

Jing Gao, Gang Yu, Yan Yan, Weifeng Hu, Dayong Hu, Weibing Wang, Guoxian Yang, Jing Wei, Shiquan Yang

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Jing GaoDepartment of General Practice, Xujiahui Community Healthcare Center of Xuhui District of Shanghai, Shanghai 200030, P.R. China.
Gang YuDepartment of Nephrology, The Sixth People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai 200233, P.R. China.
Yan YanDepartment of General Practice, Xujiahui Community Healthcare Center of Xuhui District of Shanghai, Shanghai 200030, P.R. China.
Weifeng HuDepartment of Nephrology, Naval Medical Center of People's Liberation Army, Shanghai 200052, P.R. China.
Dayong HuDepartment of Nephrology, The Tenth People's Hospital of Tongji University, Shanghai 200072, P.R. China.
Weibing WangDepartment of Epidemiology, School of Public Health of Fudan University, Shanghai 200032, P.R. China.
Guoxian YangDepartment of General Practice, Xujiahui Community Healthcare Center of Xuhui District of Shanghai, Shanghai 200030, P.R. China.
Jing WeiDepartment of General Practice, Xujiahui Community Healthcare Center of Xuhui District of Shanghai, Shanghai 200030, P.R. China.
Shiquan YangDepartment of General Practice, Xujiahui Community Healthcare Center of Xuhui District of Shanghai, Shanghai 200030, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is a common malignancy of the urinary system. Although traditional therapies, such as surgery assisted with chemotherapy have improved the quality of life and survival time of patients with RCC, patients with metastasis or recurrence benefit little from such therapies. At present, little is known about the underlying mechanisms of RCC, rendering treatment selection and implementation challenging. Therefore, investigating the cause and underlying mechanisms of RCC remain of importance to explore potential new avenues for its treatment. Inter-α-trypsin inhibitor heavy chain 1 (

Indexed as

inter-α-trypsin inhibitor heavy chain 1NF-κBrenal cell carcinomaThe Cancer Genome Atlas

Identifiers

PMID39091412
PMCPMC11292172

What OpenQuestion holds

Textmetadata
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.