ArticleEvidence-based complementary and alternative medicine : eCAM2022
Study on the Predictive Value of Thromboelastography in Early Neurological Deterioration in Patients with Primary Acute Cerebral Infarction.
Article in Evidence-based complementary and alternative medicine : eCAM, 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 It has been retracted, and should not be counted.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 2 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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Prediction of early neurological deterioration in acute ischemic stroke patients treated with intravenous thrombolysis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Retracted: Study on the Predictive Value of Thromboelastography in Early Neurological Deterioration in Patients with Primary Acute Cerebral Infarction.Evidence-based complementary and alternative medicine : eCAM · 2023Article
Corrections and comments
- Retraction · 2023-06-21Concerns/Issues about Data · Concerns/Issues about Human Subject Welfare · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/BDBCB97D8059AA3EBC42AEC064AD2D
- Retracted
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the predictive value of thromboelastography for the occurrence of early neurological deterioration (END) in patients with primary acute cerebral infarction (ACI). Methods: 150 patients who were hospitalized in the department of neurology of our hospital from September 2020 to September 2021 and were clearly diagnosed with primary ACI by head CT and head magnetic resonance imaging (MRI) were selected and divided into END and non-END groups according to the change in National Institute of Health Stroke Scale (NIHSS) score within 72 h of admission. The general baseline data and laboratory indexes of the first examination at admission were compared between the two groups, and the factors that may affect the occurrence of END were determined by univariate analysis and multivariate logistic regression analysis, and the predictive value of thromboelastography on the occurrence of END after ACI was analyzed by applying the receiver operating characteristic (ROC) curve. Results: Time to onset, baseline NIHSS score, percentage of diabetes, white blood cell (WBC) levels, C-reactive protein (CRP), and apolipoprotein B (Apo B) levels were higher in the END group than in the non-END group ( Conclusion: NIHSS score at admission, CRP, apolipoprotein B, RT shortening, and diabetes mellitus were independent risk factors for the development of END in ACI patients; RT shortening in TEG was predictive of END in ACI patients.
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.