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17821. Characteristics of elderly perpetrators and perpetrators of sexual violence involving elderly victim/survivors: a systematic review

, any associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion (...) , the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting

2020 PROSPERO

17822. Characteristics of cannabis use which could impact the transition in hight risk subject to psychosis: a meta-analysis and review

associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria (...) , the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting

2020 PROSPERO

17823. Characteristics of calcification of the stylohyoid ligament on imaging studies: a systematic review.

or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17824. Characteristics and treatment outcomes of maxillofacial trauma in Nigeria: systematic review

websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Example (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17825. Characteristics and outcomes of surgical patients infected with coronavirus COVID-19. A systematic review

or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17826. Characteristics and outcomes of nonagenarian patients undergoing PCI for STEMI: a meta-analysis of observational studies

associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria (...) , the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting

2020 PROSPERO

17827. Changes to the microbiota in subgingival plaque samples before and after surgical periodontitis treatment

or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17828. Changes to the microbiota in subgingival plaque samples before and after non-surgical periodontitis treatment

or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17829. Changes of serum Anti-Mullerian Hormone level after medication as a pretreatment in assisted reproduction: a systematic review and meta-analysis

of this registration record, any associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria (...) models, the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings

2020 PROSPERO

17830. Changes in swallowing difficulties among patients who underwent thyroid surgeries

salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Example: Screening (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17831. Changes in physical performance of youth athletes: a systematic review and meta-analyses

. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Example: Screening (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17832. Changes in Monocyte Subsets Distribution, Phenotype and Function and Risk of Cardiometabolic Diseases: A Systematic Review

associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria (...) , the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting

2020 PROSPERO

17833. Changes in lipid profile in HIV patients treated with antiretroviral schemes with and without integrase inhibitors: a systematic review and metaanalysis

of this registration record, any associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria (...) models, the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings

2020 PROSPERO

17834. Changes in heart rate-based measures to monitoring training status after an overload training period in endurance athletes: A systematic review with meta-analysis

for the content of this registration record, any associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria (...) models, the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings

2020 PROSPERO

17835. Changes in attachment patterns measured in connection with treatments of adults for trauma or trauma related conditions

associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria (...) , the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting

2020 PROSPERO

17836. Changes in Achilles tendon volume in response to mechanical load in healthy and tendinopathy

websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Example (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17837. change in food consumption pattern with calorie, sugar and fat labels: a systematic review

. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Example: Screening (...) , the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we will re-run the analysis

2020 PROSPERO

17838. CGRP monoclonal antibodies for the preventive treatment of migraine: a systemic review and network meta-analysis

files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion (...) of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting the time point of greatest efficacy we

2020 PROSPERO

17839. Cervical Pessary for Preventing Preterm Birth in Singleton and Twin Pregnancy: an update systematic review and meta-analysis

associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria (...) , the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting

2020 PROSPERO

17840. Cervical cancer screening service utilization and predictors among reproductive age women in Ethiopia: a systematic review and meta analysis

record, any associated files or external websites. Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) * Measures of effect * Measures of effect Email salutation (e.g. "Dr Smith" or "Joanne") for correspondence: Organisation web address: Grant number(s) Context and rationale Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion criteria: Exclusion criteria: Inclusion (...) , the decision to pool certain units of measurement for an outcome, the choice of effect measure, how subgroup variables are stratified etc. In order to assess the robustness of the findings of the meta-analysis, the analyses are re-run using the alternative options for each decision. If the results of both meta-analyses are similar, the results seem robust. When the conclusions of a meta-analysis significantly change, this should be discussed. Example: To test the robustness of our findings when selecting

2020 PROSPERO

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