What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Surgery
- Disease
The scientist’s investigation covers issues in Physical therapy, Osteoarthritis, Surgery, Randomized controlled trial and Internal medicine.
Her studies deal with areas such as Odds ratio, Cohort study, Incidence and Physical medicine and rehabilitation as well as Physical therapy.
Her research integrates issues of Body mass index, Prospective cohort study, Arthroplasty and Valgus in her study of Osteoarthritis.
Her research in the fields of Radiography overlaps with other disciplines such as Variation, Mic values and Multiple methods.
Her research in Randomized controlled trial intersects with topics in Anesthesia, Placebo and Clinical trial.
Her Internal medicine study also includes
- Tendinopathy and related Randomization and Achilles tendonitis,
- Achilles tendon which intersects with area such as Tendinitis.
Her most cited work include:
- OARSI recommendations for the management of hip and knee osteoarthritis, Part II: OARSI evidence-based, expert consensus guidelines (2106 citations)
- OARSI guidelines for the non-surgical management of knee osteoarthritis (1773 citations)
- Incidence and determinants of lower extremity running injuries in long distance runners: A systematic review (829 citations)
What are the main themes of her work throughout her whole career to date?
Sita M A Bierma-Zeinstra mainly investigates Physical therapy, Osteoarthritis, Internal medicine, Randomized controlled trial and Prospective cohort study.
The concepts of her Physical therapy study are interwoven with issues in Clinical trial, Physical medicine and rehabilitation, Cohort study, Physical examination and Cohort.
Her Osteoarthritis study combines topics from a wide range of disciplines, such as Body mass index, Odds ratio and Surgery, Radiography.
The Odds ratio study combines topics in areas such as Incidence and Confidence interval.
Her study in Randomized controlled trial is interdisciplinary in nature, drawing from both Rehabilitation and Placebo.
Her Prospective cohort study research integrates issues from Back pain, Epidemiology, Logistic regression and Severity of illness.
She most often published in these fields:
- Physical therapy (61.36%)
- Osteoarthritis (45.00%)
- Internal medicine (19.55%)
What were the highlights of her more recent work (between 2018-2021)?
- Osteoarthritis (45.00%)
- Physical therapy (61.36%)
- Internal medicine (19.55%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Osteoarthritis, Physical therapy, Internal medicine, Randomized controlled trial and Magnetic resonance imaging.
She combines subjects such as Physical examination, Overweight, Cohort and Radiography with her study of Osteoarthritis.
Her Physical therapy research is multidisciplinary, relying on both Psychological intervention, Logistic regression, Clinical trial, Cohort study and Prospective cohort study.
Her work on Rheumatology, Odds ratio and Meta-analysis as part of general Internal medicine study is frequently connected to Patient data, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
In her research, WOMAC is intimately related to Confidence interval, which falls under the overarching field of Randomized controlled trial.
Her Magnetic resonance imaging research incorporates themes from Synovitis, Patellofemoral pain, Nuclear medicine and Cartilage.
Between 2018 and 2021, her most popular works were:
- OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis (365 citations)
- Intestinal microbiome composition and its relation to joint pain and inflammation (35 citations)
- Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. (28 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Disease
Her main research concerns Osteoarthritis, Internal medicine, Physical therapy, Logistic regression and Rheumatology.
Sita M A Bierma-Zeinstra interconnects Orthopedic surgery, Overweight, Physical examination and Radiography in the investigation of issues within Osteoarthritis.
Her work on Odds ratio, Meta-analysis, Arthritis and Concomitant as part of general Internal medicine research is frequently linked to Patient data, bridging the gap between disciplines.
Her study in the field of Squatting position is also linked to topics like Injury risk.
Her work focuses on many connections between Logistic regression and other disciplines, such as Prospective cohort study, that overlap with her field of interest in Epidemiology.
Her Rheumatology study combines topics in areas such as Body mass index, vitamin D deficiency, Preventive healthcare and Cohort.
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