Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic review
Introduction During the COVID-19 pandemic, approximately 10%–35% of COVID-19 infected patients experience post-COVID sequela. Among these sequelae, pain symptoms should not be neglected. In addition, the sequelae of COVID-19 also decrease the quality of life of these populations. However, meta-analy...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2022-07-01
|
| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/7/e057394.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832575907483615232 |
|---|---|
| author | Yongxing Xu Jianwen Gu Mengrong Miao Yitian Yang Pule Li Mengqi Jia Zhaoyu Wen Mengmeng Yu Jiaqiang Zhang |
| author_facet | Yongxing Xu Jianwen Gu Mengrong Miao Yitian Yang Pule Li Mengqi Jia Zhaoyu Wen Mengmeng Yu Jiaqiang Zhang |
| author_sort | Yongxing Xu |
| collection | DOAJ |
| description | Introduction During the COVID-19 pandemic, approximately 10%–35% of COVID-19 infected patients experience post-COVID sequela. Among these sequelae, pain symptoms should not be neglected. In addition, the sequelae of COVID-19 also decrease the quality of life of these populations. However, meta-analyses that systematically evaluated post-COVID pain are sparse.Methods and analysis A comprehensive screening will be performed by searching MEDLINE and Embase without language restriction from inception to August 2021. Cohort studies, case–control studies, cross-sectional studies and case series will be included. Case report and interventional studies will be excluded. Studies with less than 20 participants will be also excluded. We aim to investigate the prevalence of pain-related symptoms in patients after the acute phase of COVID-19. The impact of COVID-19 on the quality of life and pain symptoms among these populations in the post-acute phase will also be evaluated. ROBINS-I tool will be used to assess the risk of bias of cohort studies. The risk of bias tool developed by Hoy et al will be used to assess the risk of bias of prevalence studies. Metaprop command in Stata will be used to estimate the pooled prevalence of pain symptoms. DerSimonian and Laird random-effects models will be used to calculate the pooled relative risks. All analyses will be calculated using Stata software (V.15.0; StataCorp)Ethics and dissemination Ethics approval is not required. Results of our study will be submitted to a peer-review journal.PROSPERO registration number CRD42021272800. |
| format | Article |
| id | doaj-art-33d0fdaf14394019bce1ba2acdb3a02c |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-33d0fdaf14394019bce1ba2acdb3a02c2025-01-31T16:15:14ZengBMJ Publishing GroupBMJ Open2044-60552022-07-0112710.1136/bmjopen-2021-057394Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic reviewYongxing Xu0Jianwen Gu1Mengrong Miao2Yitian Yang3Pule Li4Mengqi Jia5Zhaoyu Wen6Mengmeng Yu7Jiaqiang Zhang8Department of Nephrology, People`s Liberation Army Strategic Support Force Medical Center, Beijing, ChinaThe Leading Group on COVID-19 Prevention and Control, People`s Liberation Army Strategic Support Force Medical Center, Beijing, ChinaZhengzhou University, Zhengzhou, Henan, ChinaZhengzhou University, Zhengzhou, Henan, ChinaDepartment of Anesthesiology and Perioperative Medicine, Henan Provincial People`s Hospital, People`s Hospital of Zhengzhou University, People`s Hospital of Henan University, Zhengzhou, Henan, ChinaDepartment of Anesthesiology and Perioperative Medicine, Henan Provincial People`s Hospital, People`s Hospital of Zhengzhou University, People`s Hospital of Henan University, Zhengzhou, Henan, ChinaDepartment of Anesthesiology and Perioperative Medicine, Henan Provincial People`s Hospital, People`s Hospital of Zhengzhou University, People`s Hospital of Henan University, Zhengzhou, Henan, ChinaDepartment of Anesthesiology and Perioperative Medicine, Henan Provincial People`s Hospital, People`s Hospital of Zhengzhou University, People`s Hospital of Henan University, Zhengzhou, Henan, ChinaDepartment of Anesthesiology and Perioperative Medicine, Henan Provincial People`s Hospital, Zhengzhou, Henan, ChinaIntroduction During the COVID-19 pandemic, approximately 10%–35% of COVID-19 infected patients experience post-COVID sequela. Among these sequelae, pain symptoms should not be neglected. In addition, the sequelae of COVID-19 also decrease the quality of life of these populations. However, meta-analyses that systematically evaluated post-COVID pain are sparse.Methods and analysis A comprehensive screening will be performed by searching MEDLINE and Embase without language restriction from inception to August 2021. Cohort studies, case–control studies, cross-sectional studies and case series will be included. Case report and interventional studies will be excluded. Studies with less than 20 participants will be also excluded. We aim to investigate the prevalence of pain-related symptoms in patients after the acute phase of COVID-19. The impact of COVID-19 on the quality of life and pain symptoms among these populations in the post-acute phase will also be evaluated. ROBINS-I tool will be used to assess the risk of bias of cohort studies. The risk of bias tool developed by Hoy et al will be used to assess the risk of bias of prevalence studies. Metaprop command in Stata will be used to estimate the pooled prevalence of pain symptoms. DerSimonian and Laird random-effects models will be used to calculate the pooled relative risks. All analyses will be calculated using Stata software (V.15.0; StataCorp)Ethics and dissemination Ethics approval is not required. Results of our study will be submitted to a peer-review journal.PROSPERO registration number CRD42021272800.https://bmjopen.bmj.com/content/12/7/e057394.full |
| spellingShingle | Yongxing Xu Jianwen Gu Mengrong Miao Yitian Yang Pule Li Mengqi Jia Zhaoyu Wen Mengmeng Yu Jiaqiang Zhang Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic review BMJ Open |
| title | Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic review |
| title_full | Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic review |
| title_fullStr | Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic review |
| title_full_unstemmed | Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic review |
| title_short | Post-COVID pain and quality of life in COVID-19 patients: protocol for a meta-analysis and systematic review |
| title_sort | post covid pain and quality of life in covid 19 patients protocol for a meta analysis and systematic review |
| url | https://bmjopen.bmj.com/content/12/7/e057394.full |
| work_keys_str_mv | AT yongxingxu postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview AT jianwengu postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview AT mengrongmiao postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview AT yitianyang postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview AT puleli postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview AT mengqijia postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview AT zhaoyuwen postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview AT mengmengyu postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview AT jiaqiangzhang postcovidpainandqualityoflifeincovid19patientsprotocolforametaanalysisandsystematicreview |