| Literature DB >> 33772399 |
Sameh Hany Emile1, Hytham K S Hamid2, Sualeh Muslim Khan3, George N Davis4.
Abstract
BACKGROUND: Non-operative management (NOM) of acute appendicitis has been assessed in several studies before COVID-19 pandemic. This systematic review aimed to assess the extent of adoption, efficacy, and safety of NOM of acute appendicitis in the setting of COVID-19.Entities:
Keywords: Appendicitis; COVID-19; Meta-analysis; Non-operative management; Outcome; Systematic review
Mesh:
Year: 2021 PMID: 33772399 PMCID: PMC7997536 DOI: 10.1007/s11605-021-04988-1
Source DB: PubMed Journal: J Gastrointest Surg ISSN: 1091-255X Impact factor: 3.452
Fig. 1PRISMA flow chart
Characteristics of the studies reviewed
| Study | Country | Duration | Multicenter | Type | Number | Males | Age | MINORS |
|---|---|---|---|---|---|---|---|---|
| English et al.[ | UK | March–May 2020 | Yes | Prospective comparative cohort | 79 | 48 | 33 | 18/24 (high risk) |
| Finkelstein et al.[ | USA | March–May 2019/2020 | No | Retrospective comparative cohort | 48 | 23 | 44 | 18/24 (high risk) |
| Ganesh et al.[ | UK | Nov 2019–May 2020 | No | Retrospective comparative cohort | 32 | 12 | 37 | 17/24 (high risk) |
| Javanmard-Emamghissi et al.[ | UK | March–May 2020 | Yes | Prospective comparative cohort | 500 | 267 | 35 | 20/24 (low risk) |
| Kvasnovsky et al.[ | USA | March–May 2020 | No | Retrospective comparative cohort | 55 | NA | 12.4 | 12/24 (high risk) |
| Patel et al.[ | USA | March–May 2020 | No | Retrospective comparative cohort | 75 | 52 | 32 | 19/24 (high risk) |
| Verma et al.[ | India | March–July 2020 | No | Prospective comparative cohort | 91 | 52 | NA | 16/24 (high risk) |
| Zhou et al.[ | China | January–March 2020 | No | Retrospective comparative cohort | 90 | 54 | 40.9 | 20/24 (high risk) |
| Kelly et al.[ | Ireland | March–April 2020 | No | Retrospective single-arm cohort | 18 | NA | NA | 13/16 (low risk) |
| Khanal et al.[ | Nepal | Jul 20 | No | Prospective single-arm cohort | 73 | 44 | 27 | 13/16 (low risk) |
| Bethel et al.[ | UK | April–May 2020 | Yes | Prospective comparative cohort | 838 | 526 | 10 | 17/24 (high risk) |
| Basamh et al.[ | UK | March–April 2020 | No | Prospective single-arm cohort | 42 | 24 | 41 | 13/16 (high risk) |
| Gao et al.[ | China | June 2019–April 2020 | No | Retrospective comparative cohort | 58 | 40 | 42.8 | 18/24 (high risk) |
| Tankel et al.[ | Israel | Dec 2019–April 2020 | Yes | Retrospective comparative cohort | 141 | 77 | 23.3 | 19/24 (high risk) |
Comparison of the rate of application of NOM before and after COVID-19
| Study | During COVID-19 | Before COVID-19 | ||
|---|---|---|---|---|
| Total appendicitis | Appendicitis that had NOM | Total appendicitis | Appendicitis that had NOM | |
| English et al. | 79 | 51 (64.5%) | 63 | 11 (17.4%) |
| Finkelstein et al. | 48 | 5 (10.4%) | 59 | 4 (6.8%) |
| Ganesh et al. | 32 | 14 (43.7%) | 64 | 0 |
| Javanmard-Emamghissi et al. | 500 | 271 (54.2%) | NA | NA |
| Kvasnovsky et al. | 55 | 55 (100%) | 41 | 0 |
| Patel et al. | 75 | 24 (32%) | 111 | 6 (5.4%) |
| Verma et al. | 91 | 63 (69.2%) | 126 | 28 (22.2%) |
| Zhou et al. | 90 | 9 (10%) | NA | NA |
| Kelly et al. | 18 | 11 (61.1%) | NA | NA |
| Khanal et al. | 73 | 60 (82.2%) | NA | NA |
| Bethel et al. | 838 | 326 (38.9%) | NA | NA |
| Basamh et al. | 42 | 42 (100%) | NA | NA |
| Gao et al. | 58 | 17 (29.3%) | 105 | 12 (11.4%) |
| Tankel et al. | 141 | 11 (7.8%) | 237 | 35 (14.7%) |
NOM, non-operative management; COVID-19, coronavirus disease 2019
Fig. 2Forest plot for the odds ratio of the NOM application rate before and after COVID-19
Outcome of NOM of acute appendicitis during COVID-19
| Study | Number | Complicated appendicitis | Patients needed surgery (failure) | Complications (N) | Stay in days |
|---|---|---|---|---|---|
| English et al.[ | 51/79 (64.5%) | NA | 2 (3.9%) | 10 (19.6%) | 1 |
| Finkelstein et al.[ | 5/48 (10.5%) | 0 | 0 | NA | NA |
| Ganesh et al.[ | 14/32 (43.7%) | NA | 0 | 0 | 2 |
| Javanmard-Emamghissi et al.[ | 271/500 (54.2%) | NA | 26 (9.5) | 11 (4%) | 2 |
| Kvasnovsky et al.[ | 55/55 (100%) | 5 (9.1%) | 30 (54.5%) | NA | 1 |
| Patel et al.[ | 24/75 (32%) | 3 (12.5%) | 7 (29.1%) | 1 (4.1%) | NA |
| Verma et al.[ | 63/91 (69.2%) | 7 (11.1%) | 11 (17.4%) | NA | 5.2 |
| Zhou et al.[ | 9/90 (10%) | NA | 0 | NA | NA |
| Kelly et al.[ | 11/18 (61.1%) | NA | 5 (45.4) | NA | 3.5 |
| Khanal et al.[ | 60/73 (74%) | 4 (6.7%) | 3 (5%) | 4 (6.7%) | 3 |
| Bethel et al.[ | 326/838 (38.9%) | 65 (19.9%) | 81 (24.8%) | 4 (1.2%) | 2 |
| Basamh et al.[ | 42/42 (100%) | 10 (23.8%) | 6 (14.2%) | NA | 2.57 |
| Gao et al.[ | 17/58 (29.3%) | NA | NA | NA | NA |
| Tankel et al.[ | 11/142 (7.8%) | NA | NA | NA | NA |
NOM, non-operative management; COVID-19, coronavirus disease 2019
Fig. 3Forest plot for the weighted mean failure rate of NOM
Fig. 4Forest plot for the weighted mean complication rate of NOM
Outcome of upfront appendectomy during COVID-19
| Study | Number | Complications ( | Laparoscopy ( | Stay in days |
|---|---|---|---|---|
| English et al.[ | 28/79 (35.5%) | 4 (14.3%) | 2 (7.1%) | 12 |
| Finkelstein et al.[ | 43/48 (89.5%) | 3 (7%) | 43 (100%) | NA |
| Ganesh et al.[ | 18/32 (56.2%) | 0 | 11 (61.1%) | 30 |
| Javanmard-Emamghissi et al.[ | 229/500 (45.8%) | 47 (20.5%) | 93 (40.6%) | 30 |
| Kvasnovsky et al.[ | 0/55 | NA | NA | 30 |
| Patel et al.[ | 51/75 (68%) | 7 (13.7%) | 46 (90.1%) | 30 |
| Verma et al.[ | 28/91 (30.7%) | 6 (21.4%) | NA | NA |
| Zhou et al.[ | 81/90 (90%) | 3 (3.7%) | 69 (85.1%) | 14 |
| Kelly et al.[ | 7/18 (38/9%) | NA | NA | 7 |
| Khanal et al.[ | 13/78 (16.7%) | NA | NA | NA |
| Bethel et al.[ | 512/838 (61.1%) | 24 (4.7%) | 243 (47.5%) | 3 |
| Basamh et al.[ | 0/42 | NA | NA | NA |
| Gao et al.[ | 41/58 (70.7%) | NA | NA | NA |
| Tankel et al.[ | 130/142 (91.5%) | NA | 124 | NA |
COVID-19, coronavirus disease 2019
Fig. 5Forest plot for the odds ratio of complications after NOM versus after appendectomy
Fig. 6Funnel plot for publication bias assessment