Evidence map›Paper›PMID 34099729›Full record

Observational studyNature communications2021

OPG/TRAIL ratio as a predictive biomarker of mortality in patients with type A acute aortic dissection.

Jie Lu, Ping Li, Ke Ma, Yang Li, Hui Yuan, Junming Zhu, Weixun Duan, Jingsong Ou, Yonghong Huang, Long Wu and 4 more

Abstract readMulticenter StudyObservational StudyValidation Study
In one paragraph

Observational study in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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  8. 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

14 authors.

Jie Lu *Beijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.ORCID 0000-0003-1805-9820
Ping Li *Beijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Ke MaBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Yang LiBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Hui YuanBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Junming ZhuBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China.
Weixun DuanXi Jing Hospital of Fourth Military Medical University, Xian, China.
Jingsong OuFirst Affiliated Hospital of Sun yat-sen university, Guangzhou, China.
Yonghong HuangFirst hospital affiliated to Dalian medical university, Dalian, China.
Long WuUnion Hospital Affiliated with Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xueliang PanCenter for Biostatistics, the Ohio State University, Columbus, USA.ORCID 0000-0002-2342-3212
Hui ZhangDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, USA.
Jie DuBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China. jiedu@ccmu.edu.cn.ORCID 0000-0003-0447-736X
Yulin LiBeijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China. lyllyl_1111@163.com.ORCID 0000-0001-7909-0763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following hospital discharge, patients with type A acute aortic dissection (TA-AAD) may present an increase in mortality risk. However, little is known about specific biomarkers associated with post-discharge survival, and there is a paucity of prognostic markers associated with TA-AAD. Here, we identify nine candidate proteins specific for patietns with TA-AAD in a cross-sectional dataset by unbiased protein screening and in-depth bioinformatic analyses. In addition, we explore their association with short-term and long-term mortality in a derivation cohort of patients with TA-AAD, including an internal (n = 300) and external (n = 236) dataset. An elevated osteoprotegerin (OPG)/tumour necrosis factor-related apoptosis-inducing ligand (TRAIL) ratio was the strongest predictor of overall, 30-day, post-30-day mortality in both datasets and was confirmed to be a strong predictor of mortality in an independent validation cohort (n = 400). Based on OPG/TRAIL ratio-guided risk stratification, patients at high risk (>33) had a higher 1-year mortality (55.6% vs. 4.3%; 68.2% vs. 2.6%) than patients at low risk (<4) in both cohorts. In Conclusion, we show that an elevated OPG/TRAIL ratio is associated with a significant increase in short-term and long-term mortality in patients with TA-AAD.

Indexed as

AdultAortic AneurysmAortic DissectionBiomarkersCross-Sectional StudiesDatasets as TopicDisease-Free SurvivalFemaleFollow-Up StudiesHospital MortalityHumansMaleMiddle AgedOsteoprotegerinPatient DischargePredictive Value of TestsBiomarkersOsteoprotegerinTNF-Related Apoptosis-Inducing LigandTNFRSF11B protein, humanTNFSF10 protein, human

Identifiers

PMID34099729
PMCPMC8185077

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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.