scholarly journals A systematic review on SARS-CoV-2 remission: an Emerging challenge for its management, treatment, immunization strategies and post-treatment guidelines

2022 ◽  
pp. 100949
Author(s):  
Rupa Joshi ◽  
Rubal Singla ◽  
Abhishek Mishra ◽  
Mukesh Kumar ◽  
Rahul Soloman Singh ◽  
...  
Keyword(s):  
Systematic Review ◽  
Treatment Guidelines ◽  
Post Treatment ◽  
Immunization Strategies

349 Cognitive Behavioral Therapy for Insomnia in Patients with Chronic Pain - A Systematic Review and Meta-Analysis

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A139-A140
Author(s):  
Janannii Selvanathan ◽  
Chi Pham ◽  
Mahesh Nagappa ◽  
Philip Peng ◽  
Marina Englesakis ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cognitive Behavioral Therapy ◽  
Cancer Pain ◽  
Behavioral Therapy ◽  
Meta Analysis ◽  
Post Treatment ◽  
Cognitive Behavioral ◽  
Comorbid Insomnia ◽  
Patient Reported

Abstract Introduction Patients with chronic non-cancer pain often report insomnia as a significant comorbidity. Cognitive behavioral therapy for insomnia (CBT-I) is recommended as the first line of treatment for insomnia, and several randomized controlled trials (RCTs) have examined the efficacy of CBT-I on various health outcomes in patients with comorbid insomnia and chronic non-cancer pain. We conducted a systematic review and meta-analysis on the effectiveness of CBT-I on sleep, pain, depression, anxiety and fatigue in adults with comorbid insomnia and chronic non-cancer pain. Methods A systematic search was conducted using ten electronic databases. The duration of the search was set between database inception to April 2020. Included studies must be RCTs assessing the effects of CBT-I on at least patient-reported sleep outcomes in adults with chronic non-cancer pain. Quality of the studies was assessed using the Cochrane risk of bias assessment and Yates quality rating scale. Continuous data were extracted and summarized using standard mean difference (SMD) with 95% confidence intervals (CIs). Results The literature search resulted in 7,772 articles, of which 14 RCTs met the inclusion criteria. Twelve of these articles were included in the meta-analysis. The meta-analysis comprised 762 participants. CBT-I demonstrated a large significant effect on patient-reported sleep (SMD = 0.87, 95% CI [0.55–1.20], p < 0.00001) at post-treatment and final follow-up (up to 9 months) (0.59 [0.31–0.86], p < 0.0001); and moderate effects on pain (SMD = 0.20 [0.06, 0.34], p = 0.006) and depression (0.44 [0.09–0.79], p= 0.01) at post-treatment. The probability of improving sleep and pain following CBT-I at post-treatment was 81% and 58%, respectively. The probability of improving sleep and pain at final follow-up was 73% and 57%, respectively. There were no statistically significant effects on anxiety and fatigue. Conclusion This systematic review and meta-analysis showed that CBT-I is effective for improving sleep in adults with comorbid insomnia and chronic non-cancer pain. Further, CBT-I may lead to short-term moderate improvements in pain and depression. However, there is a need for further RCTs with adequate power, longer follow-up periods, CBT for both insomnia and pain, and consistent scoring systems for assessing patient outcomes. Support (if any):

scholarly journals The Association Between Treatment Interval and Survival in Patients With Colon or Rectal Cancer: A Systematic Review

2021 ◽  
Author(s):  
Ruud F. W. Franssen ◽  
Maud T. A. Strous ◽  
Bart C. Bongers ◽  
F. Jeroen Vogelaar ◽  
Maryska L. G. Janssen-Heijnen
Keyword(s):  
Systematic Review ◽  
Rectal Cancer ◽  
Treatment Guidelines ◽  
Current Treatment ◽  
Optimal Treatment ◽  
Reliable Estimate ◽  
Original Research ◽  
Curative Surgery ◽  
Cancer Specific Survival ◽  
Treatment Interval

Abstract Background Surgery for colon or rectal cancer is associated with a high incidence of complications, especially in patients with a low aerobic fitness. Those patients might benefit from a comprehensive preoperative workup including prehabilitation. However, time between diagnosis and treatment is often limited due to current treatment guidelines. To date, it is unclear whether the treatment interval can be extended without compromising survival. Methods A systematic review concerning the association between treatment intervals and survival in patients who underwent elective curative surgery for colon or rectal cancer was performed. A search up to December 2020 was conducted in PubMed, Cinahl and Embase. Original research articles were eligible. Quality assessment was performed using the Downs and Black checklist. Results Eleven observational studies were included (897 947 patients). In colon cancer, treatment intervals that were statistically significant associated with reduced overall survival or cancer-specific survival ranged between > 30 and > 84 days. In rectal cancer, only one out of four studies showed that treatment intervals > 49 days was associated with reduced cancer-specific survival. Conclusions This systematic review identified that studies investigating the association between treatment intervals and survival are heterogeneous with regard to treatment interval definitions, treatment interval time intervals and used outcome measures. These aspects need standardization before a reliable estimate of an optimal treatment interval can be made. In addition, further research should focus on establishing optimal treatment intervals in patients at high risk for postoperative complications, as particularly these patients might benefit from extended diagnosis to treatment intervals permitting comprehensive preoperative preparation.

scholarly journals Description of on-farm treatment compliance and risk factors for culling in sows

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Magnus R. Campler ◽  
Jeremiah L. Cox ◽  
Heather L. Walker ◽  
Andréia G. Arruda
Keyword(s):  
Treatment Guidelines ◽  
Treatment Compliance ◽  
Drug Dosage ◽  
Post Treatment ◽  
Individual Treatment ◽  
Treatment Protocols ◽  
Logistic Regression Models ◽  
Sow Longevity ◽  
Complete Treatment ◽  
On Farm

Abstract Background In commercial pig farming, sick or injured sows are often treated by producers or hired staff. To date, limited quantitative data exists on treatment compliance and the possible effect on sow longevity post-treatment. The objective of the study was to quantify on-farm compliance of treatment selection, frequency, and dosage, as well as to investigate the association between body condition scores (BCS) and other sow-level factors on post-treatment cull risk. Results On-farm treatment records, including culling reason or reason of death up to 6 months post-treatment, production records and sow characteristics were obtained for 134 sows over an 8-week period. Treatment compliance was based on the accuracy of recorded treatments compared to the herd veterinarian’s established treatment guidelines. Univariable and multivariable logistic regression models including treatment reason, treatment compliance, BCS, parity, production stage and production metrics, were constructed to investigate associations between those variables and sow culling or death. This study found low compliance for on-farm sow treatment protocols, with only 22.4% (30/134) of the sows receiving correct and complete treatment during the duration of the study. No effect of individual treatment components (drug, dosage, or frequency) on sow culling was observed. A trend for an interaction between treatment compliance and BCS was found, and parity and number of piglets born alive were identified as predictors for sow maintenance in the herd. Conclusions On-farm sow treatment compliance was low, resulting in that approximately 80% of the enrolled sows were not treated according to existing guidelines. Non-compliance of treatment guidelines did not seem to affect the risk of culling in treated sows but may have prolonged any associated pain, recovery time and negatively impacted the sow welfare during that time period.

scholarly journals Residual or Recurrent Precancerous Lesions After Treatment of Cervical Lesions in Human Immunodeficiency Virus–infected Women: A Systematic Review and Meta-analysis of Treatment Failure

2019 ◽  
Vol 69 (9) ◽  
pp. 1555-1565 ◽  
Author(s):  
Pierre Debeaudrap ◽  
Joelle Sobngwi ◽  
Pierre-Marie Tebeu ◽  
Gary M Clifford
Keyword(s):  
Systematic Review ◽  
Cervical Cancer ◽  
Human Immunodeficiency Virus ◽  
Treatment Failure ◽  
Post Treatment ◽  
High Grade ◽  
Cervical Lesions ◽  
Pooled Prevalence ◽  
Increased Risk ◽  
Immunodeficiency Virus

Abstract Background Screening and treating premalignant cervical lesions (cervical intraepithelial neoplasia 2+ [CIN2+]) is an effective way to prevent cervical cancer, and recommendations exist for the monitoring of treatment success. Yet, there is no specific recommendation for human immunodeficiency virus (HIV)-infected women, who are at a known, increased risk of cervical cancer. Methods A systematic review was performed by searching MEDLINE, EMBASE, and Web of Science for studies published from January 1980 through May 2018. Eligible studies described the prevalence of histologically- and/or cytologically-defined lesions in HIV-infected women at least 6 months post-treatment. The primary endpoint was treatment failure, defined as the presence of residual and/or recurrent high-grade CIN2+/high-grade squamous intraepithelial lesions post-treatment. The pooled prevalence in HIV-infected women and the odds ratios (ORs) for HIV-infected compared to HIV-uninfected women were estimated using random-effects models. Results Among 40 eligible studies, the pooled prevalence of treatment failure in HIV-infected women was 21.4% (95% confidence interval [CI] 15.8–27.0). There was no significant difference in the treatment failure prevalence for cryotherapy (13.9%, 95% CI 6.1–21.6) versus loop electrosurgical excision procedure (13.8%, 95% CI 8.9–18.7; P = .9), but the treatment failure prevalence was significantly higher in women with positive (47.2%, 95% CI 22.0–74.0) than with negative (19.4%, 95% CI 11.8–30.2) excision margin (OR 3.4, 95% CI 1.5–7.7). Treatment failure was significantly increased in HIV-infected versus HIV-uninfected women, both overall (OR 2.7, 95% CI 2.0–3.5) and in all sub-group analyses. Conclusions There is strong evidence for an increased risk of treatment failure in HIV-infected women, in comparison to their HIV-negative counterparts. The only significant predictor of treatment failure in HIV-infected women was a positive margin status, but further data is needed on long-term outcomes after ablative treatment in HIV-infected women.

scholarly journals A systematic review of the quality of clinical prediction models in in vitro fertilisation

2020 ◽  
Vol 35 (1) ◽  
pp. 100-116 ◽  
Author(s):  
M B Ratna ◽  
S Bhattacharya ◽  
B Abdulrahim ◽  
D J McLernon
Keyword(s):  
Systematic Review ◽  
Live Birth ◽  
Prediction Models ◽  
Conflicts Of Interest ◽  
External Validation ◽  
Post Treatment ◽  
Treatment Model ◽  
Clinical Prediction ◽  
Clinical Prediction Models

Abstract STUDY QUESTION What are the best-quality clinical prediction models in IVF (including ICSI) treatment to inform clinicians and their patients of their chance of success? SUMMARY ANSWER The review recommends the McLernon post-treatment model for predicting the cumulative chance of live birth over and up to six complete cycles of IVF. WHAT IS KNOWN ALREADY Prediction models in IVF have not found widespread use in routine clinical practice. This could be due to their limited predictive accuracy and clinical utility. A previous systematic review of IVF prediction models, published a decade ago and which has never been updated, did not assess the methodological quality of existing models nor provided recommendations for the best-quality models for use in clinical practice. STUDY DESIGN, SIZE, DURATION The electronic databases OVID MEDLINE, OVID EMBASE and Cochrane library were searched systematically for primary articles published from 1978 to January 2019 using search terms on the development and/or validation (internal and external) of models in predicting pregnancy or live birth. No language or any other restrictions were applied. PARTICIPANTS/MATERIALS, SETTING, METHODS The PRISMA flowchart was used for the inclusion of studies after screening. All studies reporting on the development and/or validation of IVF prediction models were included. Articles reporting on women who had any treatment elements involving donor eggs or sperm and surrogacy were excluded. The CHARMS checklist was used to extract and critically appraise the methodological quality of the included articles. We evaluated models’ performance by assessing their c-statistics and plots of calibration in studies and assessed correct reporting by calculating the percentage of the TRIPOD 22 checklist items met in each study. MAIN RESULTS AND THE ROLE OF CHANCE We identified 33 publications reporting on 35 prediction models. Seventeen articles had been published since the last systematic review. The quality of models has improved over time with regard to clinical relevance, methodological rigour and utility. The percentage of TRIPOD score for all included studies ranged from 29 to 95%, and the c-statistics of all externally validated studies ranged between 0.55 and 0.77. Most of the models predicted the chance of pregnancy/live birth for a single fresh cycle. Six models aimed to predict the chance of pregnancy/live birth per individual treatment cycle, and three predicted more clinically relevant outcomes such as cumulative pregnancy/live birth. The McLernon (pre- and post-treatment) models predict the cumulative chance of live birth over multiple complete cycles of IVF per woman where a complete cycle includes all fresh and frozen embryo transfers from the same episode of ovarian stimulation. McLernon models were developed using national UK data and had the highest TRIPOD score, and the post-treatment model performed best on external validation. LIMITATIONS, REASONS FOR CAUTION To assess the reporting quality of all included studies, we used the TRIPOD checklist, but many of the earlier IVF prediction models were developed and validated before the formal TRIPOD reporting was published in 2015. It should also be noted that two of the authors of this systematic review are authors of the McLernon model article. However, we feel we have conducted our review and made our recommendations using a fair and transparent systematic approach. WIDER IMPLICATIONS OF THE FINDINGS This study provides a comprehensive picture of the evolving quality of IVF prediction models. Clinicians should use the most appropriate model to suit their patients’ needs. We recommend the McLernon post-treatment model as a counselling tool to inform couples of their predicted chance of success over and up to six complete cycles. However, it requires further external validation to assess applicability in countries with different IVF practices and policies. STUDY FUNDING/COMPETING INTEREST(S) The study was funded by the Elphinstone Scholarship Scheme and the Assisted Reproduction Unit, University of Aberdeen. Both D.J.M. and S.B. are authors of the McLernon model article and S.B. is Editor in Chief of Human Reproduction Open. They have completed and submitted the ICMJE forms for Disclosure of potential Conflicts of Interest. The other co-authors have no conflicts of interest to declare. REGISTRATION NUMBER N/A

scholarly journals Tuberculosis case fatality in India: a systematic review and meta-analysis

2020 ◽  
Vol 5 (1) ◽  
pp. e002080 ◽  
Author(s):  
Sophie Huddart ◽  
Anita Svadzian ◽  
Vaidehi Nafade ◽  
Srinath Satyanarayana ◽  
Madhukar Pai
Keyword(s):  
Systematic Review ◽  
Random Effect ◽  
Case Fatality ◽  
Treatment Phase ◽  
Post Treatment ◽  
Study Quality ◽  
High Quality ◽  
Quality Reporting ◽  
Indian Patients ◽  
Generalised Linear Mixed Model

IntroductionThe WHO End TB Strategy calls for a global reduction in the case fatality ratio (CFR) below 5%. India accounts for a third of global tuberculosis (TB) deaths. This systematic review estimated CFRs among Indian patients with TB both during and after treatment.MethodsWe systematically searched Medline, Embase and Global Health for eligible studies published between 1 January 2006 and 8 January 2019, including both cohort studies and intervention study control arms that followed Indian patients with TB for fatality either during treatment or post-treatment. From relevant studies we extracted CFRs in addition to study demographics. Study quality was assessed using modified Scottish Intercollegiate Guidelines Network cohort criteria. Sufficiently homogenous studies were pooled using a random effect generalised linear mixed model. A meta-regression was performed to associate study characteristics with resulting CFRs.Results218 relevant studies were identified, of which 211 provided treatment phase CFRs. Most patients (92.4%) were treated in the public sector. Quality concerns were identified in 74% of papers. We estimated a pooled treatment phase CFR of 5.16% (95% CI 4.20% to 6.34%) which fell to 3.78% (2.77% to 5.16%) when restricted to 52 high-quality studies. Treatment phase CFRs were higher for paediatric (n=27, 6.50% (2.65% to 10.36%)), drug-resistant (n=43, 14.06% (10.15% to 19.49%)) and HIV-infected (n=35, 10.91% (7.68% to 15.50%)) patients. Nineteen post-treatment CFR studies were too heterogeneous to pool except when restricting to three high-quality studies (2.69% (–0.79% to 6.18%)). Poor study quality (OR=2.27 (2.01 to 2.57)) and tertiary centres patients (OR=1.15 (1.03 to 1.28)) were significantly associated with increased treatment phase case fatality.ConclusionsCase fatality is a critical measure of the quality of TB care. While India’s treatment CFRs are in line with WHO targets, several key patient groups remain understudied and most studies suffer from methodological issues. Increased high-quality reporting on patient outcomes will help improve the evidence base on this topic.

scholarly journals Patient Navigation in Breast Cancer Treatment and Survivorship: A Systematic Review

2016 ◽  
Vol 34 (30) ◽  
pp. 3686-3696 ◽  
Author(s):  
Sharon H. Baik ◽  
Linda C. Gallo ◽  
Kristen J. Wells
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Cancer Treatment ◽  
Patient Navigation ◽  
Experimental Studies ◽  
Breast Cancer Treatment ◽  
Post Treatment ◽  
Cochrane Library ◽  
Methodologic Quality ◽  
Surveillance Mammography

Purpose Patient navigation is an intervention approach that improves cancer outcomes by reducing barriers and facilitating timely access to cancer care. Little is known about the benefits of patient navigation during breast cancer treatment and survivorship. This systematic review evaluates the efficacy of patient navigation in improving treatment and survivorship outcomes in women with breast cancer. Methods The review included experimental and quasi-experimental studies of patient navigation programs that target breast cancer treatment and breast cancer survivorship. Articles were systematically obtained through electronic database searches of PubMed/MEDLINE, PsycINFO, Web of Science, CINAHL, and Cochrane Library. The Effective Public Health Practice Project Quality Assessment Tool was used to evaluate the methodologic quality of individual studies. Results Thirteen studies met the inclusion criteria. Most were of moderate to high quality. Outcomes targeted included timeliness of treatment initiation, adherence to cancer treatment, and adherence to post-treatment surveillance mammography. Heterogeneity of outcome assessments precluded a meta-analysis. Overall, results demonstrated that patient navigation increases surveillance mammography rates, but only minimal evidence was found with regard to its effectiveness in improving breast cancer treatment outcomes. Conclusion This study is the most comprehensive systematic review of patient navigation research focused on improving breast cancer treatment and survivorship. Minimal research has indicated that patient navigation may be effective for post-treatment surveillance; however, more studies are needed to draw definitive conclusions about the efficacy of patient navigation during and after cancer treatment.

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