20 research outputs found

    Efficacy (Study 1) and acceptance (Study 2) of cognitive behavioral therapy in adults with chronic fatigue syndrome - a meta-analysis

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    Review question The aim of the planned meta-analyses is to examine the efficacy and the acceptance of cognitive behavioral therapy including third wave treatments in adults with chronic fatigue syndrome. Condition or domain being studied Exhaustion is a mostly temporary reaction to prolonged physical or mental strain, such as distress. In some cases, exhaustion can be long-lasting, even chronic. This leads to a severe impairment of the affected person's life. If the persistent exhaustion is not based on a psychological or organic cause this condition is referred to as chronic fatigue syndrome (CFS) (Martin et al., 2013; Martin, 2015). According to previous meta-analyses in the field, cognitive behavioral therapy (CBT) is considered effective and has the highest level of evidence in the treatment of chronic fatigue syndrome (Martin et al., 2013). The National Institutes for Health and Care Excellence (NICE) guideline also recommended CBT for the treatment of CFS in 2007. However, with the publication of the 2021 guideline, there was a change in thinking in which CBT was now only classified as a complementary therapy. An update of the current state of research is needed regarding two aspects. First, the last meta-analysis which examined the efficacy of CBT in the treatment of CFS was published eleven years ago (Castell et al., 2011). Second, the release of the 2021 NICE guidelines is debated: While patient associations mostly welcome the changes, many voices of the scientific community criticize the methodological approach of the guideline and its conclusion regarding the individual therapies, especially regarding CBT and therapies with a focus on activity enhancement of the patients (e.g., Turner-Stokes, 2020; Vink et al., 2022). The purpose of this meta-analysis is to examine the efficacy of cognitive behavioral therapy in adult CFS patients. However, looking only at the efficacy of a treatment is not sufficient. Acceptance in terms of dropping out from an intervention should also be considered. An effective treatment is only beneficial on a larger scale if patients accept it and thus started in the first place (Swift et al. 2017). Currently, there is a large gap in research regarding the study of acceptability of cognitive behavioral therapy in adults with chronic fatigue syndrome. Existing meta-analyses are limited to the efficacy of specific interventions in the treatment of chronic fatigue syndrome. Dropout rates, if reported, are solely listed descriptively. To close this research gap, the planned meta-analysis examines the percentage of individuals participating in (efficacy) trials who terminate treatment prematurely. In addition, it will examine at what point these individuals discontinue treatment

    Efficacy (Study 1) and acceptance (Study 2) of cognitive behavioral therapy in adults with chronic fatigue syndrome - a meta-analysis

    No full text
    Condition or domain being studied Exhaustion is a mostly temporary reaction to prolonged physical or mental strain, such as distress. In some cases, exhaustion can be long-lasting, even chronic. This leads to a severe impairment of the affected person's life. If the persistent exhaustion is not based on a psychological or organic cause this condition is referred to as chronic fatigue syndrome (CFS) (Martin et al., 2013; Martin, 2015). According to previous meta-analyses in the field, cognitive behavioral therapy (CBT) is considered effective and has the highest level of evidence in the treatment of chronic fatigue syndrome (Martin et al., 2013). The National Institutes for Health and Care Excellence (NICE) guideline also recommended CBT for the treatment of CFS in 2007. However, with the publication of the 2021 guideline, there was a change in thinking in which CBT was now only classified as a complementary therapy. An update of the current state of research is needed regarding two aspects. First, the last meta-analysis which examined the efficacy of CBT in the treatment of CFS was published eleven years ago (Castell et al., 2011). Second, the release of the 2021 NICE guidelines is debated: While patient associations mostly welcome the changes, many voices of the scientific community criticize the methodological approach of the guideline and its conclusion regarding the individual therapies, especially regarding CBT and therapies with a focus on activity enhancement of the patients (e.g., Turner-Stokes, 2020; Vink et al., 2022). The purpose of this meta-analysis is to examine the efficacy of cognitive behavioral therapy in adult CFS patients. However, looking only at the efficacy of a treatment is not sufficient. Acceptance in terms of dropping out from an intervention should also be considered. An effective treatment is only beneficial on a larger scale if patients accept it and thus started in the first place (Swift et al. 2017). Currently, there is a large gap in research regarding the study of acceptability of cognitive behavioral therapy in adults with chronic fatigue syndrome. Existing meta-analyses are limited to the efficacy of specific interventions in the treatment of chronic fatigue syndrome. Dropout rates, if reported, are solely listed descriptively. To close this research gap, the planned meta-analysis examines the percentage of individuals participating in (efficacy) trials who terminate treatment prematurely. In addition, it will examine at what point these individuals discontinue treatment

    Hair camouflage: A comprehensive review

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    AbstractHair is venerated, cherished, and desired in societies throughout the world. Both women and men express their individual identities through their hairstyles. Healthy hair contributes to successful social assimilation, employment, and overall quality of life. Therefore, hair loss can have detrimental effects on almost every aspect of a person’s life. In this review, we discuss the myriad of options that aid in concealing and camouflaging hair loss to facilitate a healthier-appearing scalp. Camouflage options for patients who suffer from hair loss include full or partial wigs, hair extensions, concealing powders and sprays, surgical tattoos, and hair transplants. We describe these modalities in detail and discuss their respective advantages and disadvantages

    The role of the erythrocyte and subsequent ATP release in blood flow and oxygen delivery to the human forearm during hypoxic exercise

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    2014 Summer.Includes bibliographical references.Hypoxia and exercise each cause ATP to be released from the erythrocyte, increasing vasodilation to match the blood flow and oxygen demands of the exercising skeletal muscle tissue (Bergfeld & Forrester, 1992; Ellsworth, 2004; Gonzalez-Alonso, Olsen, & Saltin, 2002). However, few studies have examined the extent to which ATP can be released from the erythrocyte, especially due to hypoxic exercise. We hypothesized that hypoxic exercise would cause further augmentation in erythrocyte-derived ATP release, vasodilation, and blood flow. To test this hypothesis, in 10 healthy young adults, blood samples were taken from a deep venous catheter inserted into the experimental arm and analyzed to determine and compare the amount of ATP released under normoxic and then hypoxic exercise. Forearm blood flow (FBF; Doppler ultrasound) and vascular conductance (FVC) responses to submaximal rhythmic forearm handgrip exercise (15% maximal voluntary contraction) in normoxia and during systemic hypoxia (80% arterial oxygen saturation; pulse oximetry) were measured and calculated, respectively. Compared to normoxic rest, 3 minutes of normoxic exercise significantly increased plasma ATP (45±4 nmol/L vs 101±22 nmol/L; P<0.05). Plasma ATP with hypoxic exercise was only significantly greater than normoxic rest at 30 seconds (114±4 nmol/L; P<0.05) and 3 minutes (84±12 nmol/L; P<0.05) of exercise. ATP collected at any time point with 3 minutes of hypoxic exercise was not significantly greater than with 3 minutes of normoxic exercise (P=NS). Forearm blood flow 3 minutes of hypoxic exercise (250±26 ml min-1; P<0.05) were both greater than with normoxic exercise (201±21 ml min-1; P<0.05) or normoxic rest (29±4 ml min-1; P<0.05). Forearm vascular conductance was greater with hypoxic exercise (257±29 ml min1 (100mmHg) -1; P<0.05) than with normoxic exercise (212±23 ml min-1(100mmHg) -1; P<0.05) or normoxic rest (33±4 ml min-1(100mmHg) -1; P<0.05). As plasma ATP did not continually increase with hypoxic exercise, we conclude that hypoxic exercise may not be a strong enough stimulus for erythrocyte-derived ATP release. Despite a lack in ATP release, FBF and FVC were still maintained, suggesting that ATP may not be as important for vasodilation, enhanced blood flow, and oxygen delivery to the skeletal muscle as previously thought. Other factors involved in vasodilation and blood flow augmentation during hypoxic exercise warrant further investigation

    Physician-Industry Collaboration: Organizational Considerations for the Future of Innovation and Growth in Dermatology

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    AbstractThe U.S. medical environment continues to evolve with issues from Privacy to EMR, Insurance regulations, Physician Access and Healthcare Reform, and MACRA (Medicare Access and CHIP Reauthorization Act) on the discussion table. Not since the advent of Medicare and Medicaid in the mid 1960’s, have we seen such widespread changes in the medical healthcare environment (Centers for Medicare and Medicaid Services). Physicians, industry, patients and consumers are affected by the changes. These four groups have historically worked as separate entities, but are now key stakeholders in the future of dermatology. As stakeholders collaborating in building a future together, the dermatologists/physicians will help to ensure and preserve the quality of patient care and best patient outcomes. In the Executive Forum, leaders from the Women’s Dermatologic Society and Industry, explored five important areas: 1) A five-year outlook of Dermatology and Medicine; 2) Access of Industry to Dermatologists and Trainees; 3) The New Practice Environment; 4) Doing Things Differently; and 5) Unmet Specialty Needs. The collaborative group explored solutions for our specialty and the patients we serve

    Production and decay of D<sub>1</sub> (2420)<sup>0</sup> and D<sub>2</sub>∗ (2460)<sup>0</sup>

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    complete author list: Avery P.; Freyberger A.; Rodriguez J.; Stephens R.; Yang S.; Yelton J.; Cinabro D.; Henderson S.; Liu T.; Saulnier M.; Wilson R.; Yamamoto H.; Bergfeld T.; Eisenstein B.; Gollin G.; Ong B.; Palmer M.; Selen M.; Thaler J.; Edwards K.; Ogg M.; Spaan B.; Bellerive A.; Britton D.; Hyatt E.; MacFarlane D.; Patel P.; Sadoff A.; Ammar R.; Ball S.; Baringer P.; Bean A.; Besson D.; Coppage D.; Copty N.; Davis R.; Hancock N.; Kelly M.; Kotov S.; Kravchenko I.; Kwak N.; Lam H.; Kubota Y.; Lattery M.; Momayezi M.; Nelson J.; Patton S.; Perticone D.; Poling R.; Savinov V.; Schrenk S.; Wang R.; Alam M.; Kim I.; Nemati B.; O'Neill J.; Severini H.; Sun C.; Zoeller M.; Crawford G.; Daubenmier C.; Fulton R.; Fujino D.; Gan K.; Honscheid K.; Kagan H.; Kass R.; Lee J.; Malchow R.; Skovpen Y.; Sung M.; White C.; Butler F.; Fu X.; Kalbfleisch G.; Ross W.; Skubic P.; Wood M.; Fast J.; McIlwain R.; Miao T.; Miller D.; Modesitt M.; Payne D.; Shibata E.; Shipsey I.; Wang P.; Battle M.; Ernst J.; Gibbons L.; Kwon Y.; Roberts S.; Thorndike E.; Wang C.; Dominick J.; Lambrecht M.; Sanghera S.; Shelkov V.; Skwarnicki T.; Stroynowski R.; Volobouev I.; Wei G.; Zadorozhny P.; Artuso M.; Goldberg M.; He D.; Horwitz N.; Kennett R.; Mountain R.; Moneti G.; Muheim F.; Mukhin Y.; Playfer S.; Rozen Y.; Stone S.; Thulasidas M.; Vasseur G.; Xing X.; Zhu G.; Bartelt J.; Csorna S.; Egyed Z.; Jain V.; Kinoshita K.; Barish B.; Chadha M.; Chan S.; Cowen D.; Eigen G.; Miller J.; O'Grady C.; Urheim J.; Weinstein A.; Acosta D.; Athanas M.; Masek G.; Paar H.; Gronberg J.; Kutschke R.; Menary S.; Morrison R.; Nakanishi S.; Nelson H.; Nelson T.; Qiao C.; Richman J.; Ryd A.; Tajima H.; Sperka D.; Witherell M.; Procario M.; Balest R.; Cho K.; Daoudi M.; Ford W.; Johnson D.; Lingel K.; Lohner M.; Rankin P.; Smith J.; Alexander J.; Bebek C.; Berkelman K.; Bloom K.; Browder T.; Cassel D.; Cho H.; Coffman D.; Crowcroft D.; Drell P.; Ehrlich R.; Gaidarev P.; Garcia-Sciveres M.; Geiser B.; Gittelma B.; Gray S.; Hartill D.; Heltsley B.; Jones C.; Jones S.; Kandaswamy J.; Katayama N.; Kim P.; Kreinick D.; Ludwig G.; Masui J.; Mevissen J.; Mistry N.; Ng C.; Nordberg E.; Patterson J.; Peterson D.; Riley D.; Salman S.; Sapper M.; Würthwein F.; Avery P.; Riley D.; Salman S.; Sapper M.; Würthwein F.; Ng C.; Nordberg E.; Patterson J.; Peterson D.; Ludwig G.; Masui J.; Mevissen J.; Mistry N.; Avery P.</p

    Observation of inclusive B decays to the charmed baryons Σ<sub>c</sub><sup>++</sup> and Σ<sub>c</sub><sup>0</sup>

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    complete author list: Procario M.; Balest R.; Cho K.; Daoudi M.; Ford W.; Johnson D.; Lingel K.; Lohner M.; Rankin P.; Smith J.; Alexander J.; Bebek C.; Berkelman K.; Bloom K.; Browder T.; Cassel D.; Cho H.; Coffman D.; Drell P.; Ehrlich R.; Galik R.; Garcia-Sciveres M.; Geiser B.; Gittelman B.; Gray S.; Hartill D.; Heltsley B.; Jones C.; Jones S.; Kandaswamy J.; Katayama N.; Kim P.; Kreinick D.; Ludwig G.; Masui J.; Mevissen J.; Mistry N.; Ng C.; Nordberg E.; Patterson J.; Peterson D.; Riley D.; Salman S.; Sapper M.; Würthwein F.; Avery P.; Freyberger A.; Rodriguez J.; Stephens R.; Yang S.; Yelton J.; Cinabro D.; Henderson S.; Liu T.; Saulnier M.; Wilson R.; Yamamoto H.; Bergfeld T.; Eisenstein B.; Gollin G.; Ong B.; Palmer M.; Selen M.; Thaler J.; Sadoff A.; Ammar R.; Ball S.; Baringer P.; Bean A.; Besson D.; Coppage D.; Copty N.; Davis R.; Hancock N.; Kelly M.; Kwak N.; Lam H.; Kubota Y.; Lattery M.; Nelson J.; Patton S.; Perticone D.; Poling R.; Savinov V.; Schrenk S.; Wang R.; Alam M.; Kim I.; Nemati B.; O'Neill J.; Severini H.; Sun C.; Zoeller M.; Crawford G.; Daubenmier C.; Fulton R.; Fujino D.; Gan K.; Honscheid K.; Kagan H.; Kass R.; Lee J.; Malchow R.; Morrow F.; Skovpen Y.; Sung M.; White C.; Butler F.; Fu X.; Kalbfleisch G.; Ross W.; Skubic P.; Snow J.; Wang P.; Wood M.; Brown D.; Fast J.; McIlwain R.; Miao T.; Miller D.; Modesitt M.; Payne D.; Shibata E.; Shipsey I.; Wang P.; Battle M.; Ernst J.; Kwon Y.; Roberts S.; Thorndike E.; Wang C.; Dominick J.; Lambrecht M.; Sanghera S.; Shelkov V.; Skwarnicki T.; Stroynowski R.; Volobouev I.; Wei G.; Zadorozhny P.; Artuso M.; Goldberg M.; He D.; Horwitz N.; Kennett R.; Mountain R.; Moneti G.; Muheim F.; Mukhin Y.; Playfer S.; Rozen Y.; Stone S.; Thulasidas M.; Vasseur G.; Zhu G.; Bartelt J.; Csorna S.; Egyed Z.; Jain V.; Kinoshita K.; Edwards K.; Ogg M.; Britton D.; Hyatt E.; MacFarlane D.; Patel P.; Akerib D.; Barish B.; Chadha M.; Chan S.; Cowen D.; Eigen G.; Miller J.; O'Grady C.; Urheim J.; Weinstein A.; Acosta D.; Athanas M.; Masek G.; Paar H.; Gronberg J.; Kutschke R.; Menary S.; Morrison R.; Nakanishi S.; Nelson H.; Nelson T.; Qiao C.; Richman J.; Ryd A.; Tajima H.; Schmidt D.; Sperka D.; Witherell M.; Schmidt D.; Sperka D.; Witherell M.; Qiao C.; Richman J.; Ryd A.; Tajima H.; Morrison R.; Nakanishi S.; Nelson H.; Nelson T.; Procario M.</p

    Inclusive decays B->DX and B->D*X

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    Complete Author List: Gibbons L, Johnson SD, Kwon Y, Roberts S, Thorndike EH, Jessop CP, Lingel K, Marsiske H, Perl ML, Schaffner SF, Ugolini D, Wang R, Zhou X, Coan TE, Fadeyev V, Korolkov I, Maravin Y, Narsky I, Shelkov V, Staeck J, Stroynowski R, Volobouev I, Ye J, Artuso M, Efimov A, Frasconi F, Gao M, Goldberg M, He D, Kopp S, Horwitz N, Moneti GC, Mountain R, Mukhin Y, Schuh S, Skwarnicki T, Stone S, Thulasidas M, Viehhauser G, Xing X, Bartelt J, Csorna SE, Jain V, Marka S, Freyberger A, Godang R, Kinoshita K, Lai IC, Pomianowski P, Schrenk S, Bonvicini G, Cinabro D, Greene R, Perera LP, Barish B, Chadha M, Chan S, Eigen G, Miller JS, OGrady C, Schmidtler M, Urheim J, Weinstein AJ, Wurthwein F, Asner DM, Bliss DW, Brower WS, Masek G, Paar HP, Sharma V, Gronberg J, Kutschke R, Lange DJ, Menary S, Morrison RJ, Nelson HN, Nelson TK, Qiao C, Richman JD, Roberts D, Ryd A, Witherell MS, Balest R, Behrens BH, Cho K, Ford WT, Park H, Rankin P, Roy J, Smith JG, Alexander JP, Bebek C, Berger BE, Berkelman K, Bloom K, Cassel DG, Cho HA, Coffman DM, Crowcroft DS, Dickson M, Drell PS, Ecklund KM, Ehrlich R, Elia R, Foland AD, Gaidarev P, Gittelman B, Gray SW, Hartill DL, Heltsley BK, Kandaswamy J, Katayama N, Kim PC, Kreinick DL, Lee T, Liu Y, Ludwig GS, Masui J, Mevissen J, Mistry NB, Ng CR, Nordberg E, Ogg M, Patterson JR, Peterson D, Riley D, Soffer A, Ward C, Athanas M, Avery P, Jones CD, Lohner M, Prescott C, Yang S, Yelton J, Zheng J, Brandenburg G, Briere RA, Gao YS, Kim DYJ, Wilson R, Yamamoto H, Browder TE, Li F, Li Y, Rodriguez JL, Bergfeld T, Eisenstein BI, Ernst J, Gladding GE, Gollin GD, Hans RM, Johnson E, Karliner I, Marsh MA, Palmer M, Selen M, Thaler JJ, Edwards KW, Bellerive A, Janicek R, MacFarlane DB, McLean KW, Patel PM, Sadoff AJ, Ammar R, Baringer P, Bean A, Besson D, Coppage D, Darling C, Davis R, Hancock N, Kotov S, Kravchenko I, Kwak N, Anderson S, Kubota Y, Lattery M, ONeill JJ, Patton S, Poling R, Riehle T, Savinov V, Smith A, Alam MS, Athar SB, Ling Z, Mahmood AH, Severini H, Timm S, Wappler F, Anastassov A, Blinov S, Duboscq JE, Fisher KD, Fujino D, Fulton R, Gan KK, Hart T, Honscheid K, Kagan H, Kass R, Lee J, Spencer MB, Sung M, Undrus A, Wanke R, Wolf A, Zoeller MM, Nemati B, Richichi SJ, Ross WR, Skubic P, Wood M, Bishai M, Fast J, Gerndt E, Hinson JW, Menon N, Miller DH, Shibata EI, Shipsey IPJ, Yurko M</p

    Measurement of cabibbo-suppressed decays of the τ lepton

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    complete author list: Battle M.; Ernst J.; Kwon Y.; Roberts S.; Thorndike E.; Wang C.; Dominick J.; Lambrecht M.; Sanghera S.; Shelkov V.; Skwarnicki T.; Stroynowski R.; Volobouev I.; Wei G.; Zadorozhny P.; Artuso M.; Goldberg M.; He D.; Horwitz N.; Kennett R.; Mountain R.; Moneti G.; Muheim F.; Muheim Y.; Playfer S.; Rozen Y.; Stone S.; Thulasidas M.; Vasseur G.; Zhu G.; Bartelt J.; Csorna S.; Egyed Z.; Jain V.; Kinoshita K.; Edwards K.; Ogg M.; Britton D.; Hyatt E.; MacFarlane D.; Patel P.; Akerib D.; Barish B.; Chadha M.; Chan S.; Cowen D.; Eigen G.; Miller J.; O'Grady C.; Urheim J.; Weinstein A.; Acosta D.; Athanas M.; Masek G.; Paar H.; Sivertz M.; Gronberg J.; Kutschke R.; Menary S.; Morrison R.; Nakanishi S.; Nelson H.; Nelson T.; Qiao C.; Richman J.; Ryd A.; Tajima H.; Sperka D.; Witherell M.; Procario M.; Balest R.; Cho K.; Daoudi M.; Ford W.; Johnson D.; Lingel K.; Lohner M.; Rankin P.; Smith J.; Alexander J.; Bebek C.; Berkelman K.; Bloom K.; Browder T.; Cassel D.; Cho H.; Coffman D.; Drell P.; Ehrlich R.; Gaiderev P.; Galik R.; Garcia-Sciveres M.; Geiser B.; Gittelman B.; Gray S.; Hartill D.; Heltsley B.; Jones C.; Jones S.; Kandaswamy J.; Katayama N.; Kim P.; Kreinick D.; Ludwig G.; Masui J.; Mevissen J.; Mistry N.; Ng C.; Nordberg E.; Patterson J.; Peterson D.; Riley D.; Salman S.; Sapper M.; Würthwein F.; Avery P.; Freyberger A.; Rodriguez J.; Stephens R.; Yang S.; Yelton J.; Cinabro D.; Henderson S.; Liu T.; Saulnier M.; Wilson R.; Yamamoto H.; Bergfeld T.; Eisenstein B.; Gollin G.; Ong B.; Palmer M.; Selen M.; Thaler J.; Sadoff A.; Ammar R.; Ball S.; Baringer P.; Bean A.; Besson D.; Coppage D.; Copty N.; Davis R.; Hancock N.; Kelly M.; Kwak N.; Lam H.; Kubota Y.; Lattery M.; Nelson J.; Patton S.; Perticone D.; Poling R.; Savinov V.; Schrenk S.; Wang R.; Alam M.; Kim I.; Nemati B.; O'Neill J.; Severini H.; Sun C.; Zoeller M.; Crawford G.; Daubenmier C.; Fulton R.; Fujino D.; Gan K.; Honscheid K.; Kagan H.; Kass R.; Lee J.; Malchow R.; Skovpen Y.; Sung M.; White C.; Butler F.; Fu X.; Kalbfleisch G.; Ross W.; Skubic P.; Snow J.; Wang P.; Wood M.; Brown D.; Fast J.; McIlwain R.; Miao T.; Miller D.; Modesitt M.; Payne D.; Shibata E.; Shipsey I.; Wang P.; Battle M.; Payne D.; Shibata E.; Shipsey I.; Wang P.; McIlwain R.; Miao T.; Miller D.; Modesitt M.; Wang P.; Wood M.; Brown D.; Fast J.; Battle M.</p
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