Catharina Sadaghiani

Dr. Catharina Sadaghiani

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Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 July 2014 in Arthritis Research & Therapy
Verified
Journal Article
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JNJohannes Naumann
Johannes Naumann
CSCatharina Sadaghiani
Catharina Sadaghiani
Introduction: In the present systematic review and meta-analysis, we assessed the effectiveness of different forms of balneotherapy (BT) and hydrotherapy (HT) in the management of fibromyalgia syndrome (FMS). Methods: A s ystematic literature search was conducted through April 2013 (Medline via Pubmed, Cochrane Central Register of Controlled Trials, EMBASE, and CAMBASE). Standardized mean differences (SMDs) and 95% confidence intervals (CIs) were calculated using a random-effects model. Results: Meta-analysis showed moderate-to-strong evidence for a small reduction in pain (SMD −0.42; 95% CI [−0.61, −0.24]; P < 0.00001; I2 = 0%) with regard to HT (8 studies, 462 participants; 3 low-risk studies, 223 participants), and moderate-to-strong evidence for a small improvement in health-related quality of life (HRQOL; 7 studies, 398 participants; 3 low-risk studies, 223 participants) at the end of treatment (SMD −0.40; 95% CI [−0.62, −0.18]; P = 0.0004; I2 = 15%). No effect was seen at the end of treatment for depressive symptoms and tender point count (TPC). BT in mineral/thermal water (5 studies, 177 participants; 3 high-risk and 2 unclear risk studies) showed moderate evidence for a medium-to-large size reduction in pain and TPC at the end of treatment: SMD −0.84; 95% CI [−1.36, −0.31]; P = 0.002; I2 = 63% and SMD −0.83; 95% CI [−1.42, −0.24]; P = 0.006; I2 = 71%. After sensitivity analysis, and excluding one study, the effect size for pain decreased: SMD −0.58; 95% CI [−0.91, −0.26], P = 0.0004; I2 = 0. Moderate evidence is given for a medium improvement of HRQOL (SMD −0.78; 95% CI [−1.13, −0.43]; P < 0.0001; I2 = 0%). A significant effect on depressive symptoms was not found. The improvements for pain could be maintained at follow-up with smaller effects. Conclusions: High-quality studies with larger sample sizes are needed to confirm the therapeutic benefit of BT and HT, with focus on long-term results and maintenance of the beneficial effects.

1 January 2004 in International Journal of Hygiene and Environmental Health
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Journal Article
Closed access
JMJ. Mutter
J. Mutter
JNJohannes Naumann
Johannes Naumann
CSCatharina Sadaghiani
Catharina Sadaghiani
HWH. Walach
H. Walach
GDG. Drasch
G. Drasch

18 August 2005 in BMC Medical Research Methodology
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HWHarald Walach
Harald Walach
CSCatharina Sadaghiani
Catharina Sadaghiani
CDCornelia Dehm
Cornelia Dehm
DBDick Bierman
Dick Bierman
Background and purpose: Placebo response rates in clinical trials vary considerably and are observed frequently. For new drugs it can be difficult to prove effectiveness superior to placebo. It is unclear what contributes to improvement in the placebo groups. We wanted to clarify, what elements of clinical trials determine placebo variability. Methods: We analysed a representative sample of 141 published long-term trials (randomized, double-blind, placebo-controlled; duration > 12 weeks) to find out what study characteristics predict placebo response rates in various diseases. Correlational and regression analyses with study characteristics and placebo response rates were carried out. Results: We found a high and significant correlation between placebo and treatment response rate across diseases (r = .78; p < .001). A multiple regression model explained 79% of the variance in placebo variability (F = 59.7; p < 0.0001). Significant predictors are, among others, the duration of the study (beta = .31), the quality of the study (beta = .18), the fact whether a study is a prevention trial (beta = .44), whether dropouts have been documented (beta = -.20), or whether additional treatments have been documented (beta = -.17). Healing rates with placebo are lower in the following diagnoses; neoplasms (beta = -.21), nervous diseases (beta = -.10), substance abuse (beta = -.14). Without prevention trials the amount of variance explained is 42%. Conclusion: Medication response rates and placebo response rates in clinical trials are highly correlated. Trial characteristics can explain some portion of the variance in placebo healing rates in RCTs. Placebo response in trials is only partially due to methodological artefacts and only partially dependent on the diagnoses treated.

28 March 2017 in BMC Complementary and Alternative Medicine
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JNJohannes Naumann
Johannes Naumann
JGJulian Grebe
Julian Grebe
SKSonja Kaifel
Sonja Kaifel
TWTomas Weinert
Tomas Weinert
CSCatharina Sadaghiani
Catharina Sadaghiani
RHRoman Huber
Roman Huber
Despite advances in the treatment of depression, one-third of depressed patients fail to respond to conventional antidepressant medication. There is a need for more effective treatments with fewer side effects. The primary aim of this study was to determine whether hyperthermic baths reduce depressive symptoms in adults with depressive disorder. Randomized, two-arm placebo-controlled, 8-week pilot trial. Medically stable outpatients with confirmed depressive disorder (ICD-10: F32/F33) who were moderately depressed as determined by the 17-item Hamilton Scale for Depression (HAM-D) score ≥18 were randomly assigned to 2 hyperthermic baths (40 °C) per week for 4 weeks or a sham intervention with green light and follow-up after 4 weeks. Main outcome measure was the change in HAM-Dtotal score from baseline (T0) to the 2-week time point (T1). A total of 36 patients were randomized (hyperthermic baths, n = 17; sham condition, n = 19). The intention-to-treat analysis showed a significant (P = .037) difference in the change in HAM-Dtotal score with 3.14 points after 4 interventions (T1) in favour of the hyperthermic bath group compared to the placebo group. This pilot study suggests that hyperthermic baths do have generalized efficacy in depressed patients. DRKS00004803 at drks-neu.uniklinik-freiburg.de, German Clinical Trials Register (registration date 2016-02-02), retrospectively registered.

22 August 2017 in Nutrients
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JNJohannes Naumann
Johannes Naumann
DBDiana Biehler
Diana Biehler
TLTania Lüty
Tania Lüty
CSCatharina Sadaghiani
Catharina Sadaghiani
We aim to present an overview of the possible influence of drinking water in general and mineral water in particular in improving glycemic parameters in persons with or without type 2 diabetes. We performed a literature search that produced 15 randomized controlled trials (RCTs) on this topic with mainly small sample sizes. We also discuss relevant observational and animal studies as well as the effects of important supplements in mineral water such as hydrogencarbonate and magnesium. There is low evidence for the positive effects of water or mineral water in improving glycemic parameters in diabetic and non-diabetic persons, and the results are heterogenous, making it difficult to reach an unequivocal conclusion. Meta-analyses of prospective cohort studies and other observational studies, studies with animal models and interventional studies using hydrogencarbonate and magnesium supplements suggest a probable positive effect of drinking water and mineral water in particular on glycemic parameters, supporting the positive results found in some of the RCTs, especially those substituting diet beverages or caloric beverages with water, or those using bicarbonate and magnesium-rich water. Regarding the high prevalence, the associated suffering and the resulting health expenditures of type 2 diabetes, it is imperative to conduct larger and more rigorous trials to answer the question whether drinking water or mineral water can improve glycemic parameters in diabetic and non-diabetic persons.

1 October 2004
Verified
Journal Article
Closed access
JMJoachim Mutter
Joachim Mutter
JNJohannes Naumann
Johannes Naumann
CSCatharina Sadaghiani
Catharina Sadaghiani
RSRainer Schneider
Rainer Schneider
HWHarald Walach
Harald Walach