Evidence map›Paper›PMID 25143720›Full record

Observational studyClinical interventions in aging2014

Comparison of the clinical features and outcomes in two age-groups of elderly patients with atrial fibrillation.

Xing-Hui Shao, Yan-Min Yang, Jun Zhu, Han Zhang, Yao Liu, Xin Gao, Li-Tian Yu, Li-Sheng Liu, Li Zhao, Peng-Fei Yu and 3 more

Abstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in Clinical interventions in aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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

13 authors.

Xing-Hui ShaoEmergency and Intensive Care Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Yan-Min YangEmergency and Intensive Care Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Jun ZhuEmergency and Intensive Care Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Han ZhangEmergency and Intensive Care Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Yao LiuEmergency and Intensive Care Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Xin GaoEmergency and Intensive Care Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Li-Tian YuEmergency and Intensive Care Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Li-Sheng LiuEmergency and Intensive Care Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Li ZhaoDepartment of Emergency, Fu Xing Hospital, Capital Medical University, Beijing, People's Republic of China.
Peng-Fei YuDepartment of Cardiology, Pingdu People's Hospital, Pingdu, People's Republic of China.
Hua ZhangDepartment of Emergency, Qingdao Municipal Hospital, Qingdao, People's Republic of China.
Qing HeDepartment of Emergency, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Xiao-Dan GuDepartment of Emergency, Sixth People's Hospital of Chengdu, Chengdu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) disproportionately affects older adults. However, direct comparison of clinical features, medical therapy, and outcomes in AF patients aged 65-74 and ≥ 75 years is rare. The objective of the present study was to evaluate the differences in clinical characteristics and prognosis in these two age-groups of geriatric patients with AF. MATERIALS AND

methodsA total of 1,336 individuals aged ≥ 65 years from a Chinese AF registry were assessed in the present study: 570 were in the 65- to 74-year group, and 766 were in the ≥ 75-year group. Multivariable Cox hazards regression was performed to analyze the major adverse cardiac events (MACEs) between groups.

resultsIn our population, the older group were more likely to have coronary artery disease, hypertension, previous stroke, cognitive disorder, or chronic obstructive pulmonary disease, and the 65- to 74-year group were more likely to have valvular heart disease, left ventricular systolic dysfunction, or sleep apnea. The older patients had 1.2-fold higher mean CHADS2 (congestive heart failure, hypertension, age ≥ 75 years, diabetes, stroke) scores, but less probability of being prescribed drugs. Compared with those aged 65-74 years, the older group had a higher risk of death (hazard ratio 2.881, 95% confidence interval 1.981-4.189; P<0.001) or MACE (hazard ratio 2.202, 95% confidence interval 1.646-2.945; P<0.001) at the 1-year follow-up. In multivariable Cox analyses, secondary AF diagnosis, a history of chronic obstructive pulmonary disease, and left ventricular systolic dysfunction were independent predictors of MACE in the older group.

conclusionPatients aged ≥ 75 years had a worse prognosis than those aged 65-74 years, and were associated with a higher risk of both death and MACE.

Indexed as

AgedAged, 80 and overAtrial FibrillationCardiovascular DiseasesChinaFemaleGeriatric AssessmentHumansMalePredictive Value of TestsPrognosisProspective StudiesRegistriesRisk Factorsatrial fibrillationgeriatric patientsmajor adverse cardiac events (MACE)mortality

Identifiers

PMID25143720
PMCPMC4136954

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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.