Evidence map›Paper›PMID 38881871›Full record

ArticleFrontiers in pharmacology2024

Risk of dyslipidemia and major adverse cardiac events with tofacitinib

Xiao-Na Ma, Mei-Feng Shi, Shiow-Ing Wang, Wei Feng, Shu-Lin Chen, Xiao-Qin Zhong, Qing-Ping Liu, James Cheng-Chung Wei, Chang-Song Lin, Qiang Xu

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

10 authors.

Xiao-Na Ma *State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Mei-Feng Shi *State Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Shiow-Ing Wang *Center for Health Data Science, Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan.
Wei FengState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Shu-Lin ChenState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiao-Qin ZhongState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Qing-Ping LiuState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
James Cheng-Chung WeiInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Chang-Song LinState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Qiang XuState Key Laboratory of Traditional Chinese Medicine Syndrome, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the effects of tofacitinib and adalimumab on the risk of adverse lipidaemia outcomes in patients with newly diagnosed rheumatoid arthritis (RA). Methods: Data of adult patients newly diagnosed with RA who were treated with tofacitinib or adalimumab at least twice during a 3-year period from 1 January 2018 to 31 December 2020, were enrolled in the TriNetX US Collaborative Network. Patient demographics, comorbidities, medications, and laboratory data were matched by propensity score at baseline. Outcome measurements include incidental risk of dyslipidemia, major adverse cardiac events (MACE) and all-cause mortality. Results: A total of 7,580 newly diagnosed patients with RA (1998 receiving tofacitinib, 5,582 receiving adalimumab) were screened. After propensity score matching, the risk of dyslipidaemia outcomes were higher in the tofacitinib cohort, compared with adalimumab cohort (hazard ratio [HR] with 95% confidence interval [CI], 1.250 [1.076-1.453]). However, there is no statistically significant differences between two cohorts on MACE (HR, 0.995 [0.760-1.303]) and all-cause mortality (HR, 1.402 [0.887-2.215]). Conclusion: Tofacitinib use in patients with RA may increase the risk of dyslipidaemia to some extent compared to adalimumab. However, there is no differences on MACE and all-cause mortality.

Indexed as

adalimumablipidemiasrisk factorstofacitinibTriNetX

Identifiers

PMID38881871
PMCPMC11177090

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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.