SynthesisComputational and mathematical methods in medicine2022
Effect of Optimized Emergency Care on Treatment Rate and Prognosis of Elderly Patients with Acute Stroke in Emergency Department: A Systematic Review and Meta-Analysis.
Synthesis in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Toxic Leadership in Emergency Nurses: Assessing Abusive Supervision and Its Team-Level Impacts on Conflict Management and Organizational Commitment.Journal of nursing management · 2024Article
- Retracted: Effect of Optimized Emergency Care on Treatment Rate and Prognosis of Elderly Patients with Acute Stroke in Emergency Department: A Systematic Review and Meta-Analysis.Computational and mathematical methods in medicine · 2023Article
- Effect of Recombinant Human Epidermal Growth Factor Associated with Conventional Drug Therapy on the Dry Eye Symptom Score in Patients with Dry Eyes after Cataract Surgery: A Systematic Review and Meta-Analysis.Journal of ophthalmology · 2022Article
Corrections and comments
- Retraction · 2023-09-27Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/539BF8107629955296B2525190C449
- Retracted
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This research was to detect the treatment rate and prognosis of elderly patients with acute stroke in emergency department by the optimization of emergency care applying meta-analysis. Methods: The online databases including PubMed, EMBASE, ScienceDirect, Cochrane Library, China knowledge Network Database (CNKI), China VIP Database, Wanfang Database, and China Biomedical Literature Database (CBM) were searched. The retrieval time limit was set from the establishment of the database to the present. The data were extracted independently by two investigators. The bias of per publication was assessed following Cochrane manual 5.1.0 standard. RevMan5.4 statistical software was used to analyze the collected data by meta. Results: The 8 randomized controlled trials included in this meta-analysis all reported patients' baseline status. The meta-analysis of the rescue time of the study group and the control group (CH2 = 1507.80, df = 4, Conclusion: Optimizing the emergency care process can effectively improve the emergency rate and prognosis of elderly patients with acute stroke in emergency department; however, further research with higher methodological quality and longer intervention time are needed to verify later.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.