Clinical risk factors for pre-eclampsia early pregnancy: problems with systematic review

BMJ ◽  
2016 ◽  
pp. i2885
Author(s):  
Basky Thilagnathan
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Early Pregnancy ◽  
Clinical Risk Factors ◽  
Clinical Risk

Clinical risk factors for bipolar disorders: A systematic review of prospective studies

2014 ◽  
Vol 168 ◽  
pp. 314-321 ◽  
Author(s):  
Gianni L. Faedda ◽  
Giulia Serra ◽  
Ciro Marangoni ◽  
Paola Salvatore ◽  
Gabriele Sani ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Prospective Studies ◽  
Bipolar Disorders ◽  
Clinical Risk Factors ◽  
Clinical Risk

scholarly journals Clinical risk factors for age-related macular degeneration: a systematic review and meta-analysis

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Usha Chakravarthy ◽  
Tien Y Wong ◽  
Astrid Fletcher ◽  
Elisabeth Piault ◽  
Christopher Evans ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Macular Degeneration ◽  
Meta Analysis ◽  
Age Related Macular Degeneration ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
Age Related

scholarly journals Clinical risk factors for mortality of hospitalized patients with COVID-19: systematic review and meta-analysis

2021 ◽  
Vol 10 (2) ◽  
pp. 22-22
Author(s):  
Guiling Xiang ◽  
Liang Xie ◽  
Zhihong Chen ◽  
Shengyu Hao ◽  
Cuiping Fu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Meta Analysis ◽  
Hospitalized Patients ◽  
Clinical Risk Factors ◽  
Clinical Risk

scholarly journals Prediction of twin pregnancy preeclampsia based on clinical risk factors, early pregnancy serum markers, and uterine artery pulsatility index

2021 ◽  
Vol 37 (7) ◽  
Author(s):  
Yan Lu ◽  
Zhongying Ding ◽  
Wenwen Li ◽  
Lina Mei ◽  
Linglong Shen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Early Pregnancy ◽  
Pulsatility Index ◽  
Twin Pregnancy ◽  
Uterine Artery ◽  
Serum Markers ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
Β Hcg ◽  
Twin Pregnancies

Objectives: To investigate whether a combination of clinical risk factors, early pregnancy serum markers, and uterine artery pulsatility index (UTPI) can be used to predict twin preeclampsia (PE). Methods: This case control study included women with twin pregnancies who had undergone obstetrics treatments and gave birth at the Huzhou Maternity and Child Health Care Hospital from October 2018 to November 2020. Patients with PE comprised study group, and patients without PE comprised control group based on selection criteria and a 1:1 ratio. Statistical analysis was performed using clinical risk factors, early pregnancy serum markers, and UTPIs, and the area under the receiver operating curve (AUC. Sensitivity, and the specificity of different combinations of these variables were calculated to predict PE in women with twin pregnancy. Results: Logistic regression analysis revealed four independent predictors for the onset of PE during twin pregnancies: first delivery (OR, 7.51; P=0.045), conception method (OR, 7.11; P=0.036), β-HCG level (per SD OR, 2.73; P=0.026), and UTPI (OR, 0.17; P=0.043). First-delivery and IVF pregnancy methods both lead to a 7-fold increase in the PE risk during twin pregnancies. Every one sigma (standard deviation) increase in the β-HCG level led to a 2.73-fold increase in the PE risk. Every UTPI increment by 1.0 reduces the risk of PE by 83%. The prediction efficiencies were based on an AUC of 0.837, a sensitivity of 69%, and a specificity of 92% for the clinical risk factors; an AUC of 0.800, a sensitivity of 81%, and specificity of 78% for the β-HCG level, and an AUC of 0.814, a sensitivity of 88%, and a specificity of 65% for the UTPI. AUC was 0.928, sensitivity 85%, and a specificity 88% after applying the three types of indicators together for prediction. Conclusions: By combining early pregnancy serum markers (β-HCG), and UTPI, the predictive value for PE during twin pregnancy is improved together with its sensitivity and specificity. doi: https://doi.org/10.12669/pjms.37.7.5041 How to cite this:Lu Y, Ding Z, Li W, Mei L, Shen L, Shan H. Prediction of twin pregnancy preeclampsia based on clinical risk factors, early pregnancy serum markers, and uterine artery pulsatility index. Pak J Med Sci. 2021;37(7):---------.  doi: https://doi.org/10.12669/pjms.37.7.5041 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Clinical risk factors for Achilles tendinopathy: a systematic review

2019 ◽  
Vol 53 (21) ◽  
pp. 1352-1361 ◽  
Author(s):  
Arco C van der Vlist ◽  
Stephan J Breda ◽  
Edwin H G Oei ◽  
Jan A N Verhaar ◽  
Robert-Jan de Vos
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cohort Studies ◽  
Achilles Tendinopathy ◽  
Activity Level ◽  
Clinical Risk Factors ◽  
Cochrane Library ◽  
Plantar Flexor ◽  
Clinical Risk ◽  
Flexor Strength

BackgroundAchilles tendinopathy is a common problem, but its exact aetiology remains unclear.ObjectiveTo evaluate the association between potential clinical risk factors and Achilles tendinopathy.DesignSystematic review.Data sourcesThe databases Embase, MEDLINE Ovid, Web of Science, Cochrane Library and Google Scholar were searched up to February 2018.Eligibility criteriaTo answer our research question, cohort studies investigating risk factors for Achilles tendinopathy in humans were included. We restricted our search to potential clinical risk factors (imaging studies were excluded).ResultsWe included 10 cohort studies, all with a high risk of bias, from 5111 publications identified. There is limited evidence for nine risk factors: (1) prior lower limb tendinopathy or fracture, (2) use of ofloxacin (quinolone) antibiotics, (3) an increased time between heart transplantation and initiation of quinolone treatment for infectious disease, (4) moderate alcohol use, (5) training during cold weather, (6) decreased isokinetic plantar flexor strength, (7) abnormal gait pattern with decreased forward progression of propulsion, (8) more lateral foot roll-over at the forefoot flat phase and (9) creatinine clearance of <60 mL/min in heart transplant patients. Twenty-six other putative risk factors were not associated with Achilles tendinopathy, including being overweight, static foot posture and physical activity level.ConclusionFrom an ocean of studies with high levels of bias, we extracted nine clinical risk factors that may increase a person’s risk of Achilles tendinopathy. Clinicians may consider ofloxacin use, alcohol consumption and a reduced plantar flexor strength as modifiable risk factors when treating patients with Achilles tendinopathy.Trial registration numberCRD42017053258.

P53. Clinical risk factors for adjacent segment disease following lumbar spine fusion surgeries: A systematic review and meta-analysis

2021 ◽  
Vol 21 (9) ◽  
pp. S165-S166
Author(s):  
Mohamed K. Mesregah ◽  
Brandon C. Yoshida ◽  
Aidin Abedi ◽  
Patrick C. Hsieh ◽  
Jeffrey C. Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Lumbar Spine ◽  
Meta Analysis ◽  
Spine Fusion ◽  
Clinical Risk Factors ◽  
Adjacent Segment Disease ◽  
Adjacent Segment ◽  
Clinical Risk ◽  
Lumbar Spine Fusion
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