The Prevalence of Gastrointestinal Bleeding in COVID-19 Patients: A Systematic Review and Meta-Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Protocol and Guidelines
2.2. Eligibility Criteria
2.3. Search Strategy and Selection Process
2.4. Data Collection Process and Data Items
2.5. Quality Assessment
2.6. Statistical Analysis
3. Results
3.1. Study Selection
3.2. Study Characteristics
Study ID | Location |
Total Subjects (% Male/Median Age) | Study Type | Gastrointestinal Bleeding Cases (Prevalence %) |
---|---|---|---|---|
Chen et al., 2021 [25] | China | 2552 (50.4/57.8) | ORCS | 40 (1.6) |
Alakuş et al., 2022 [26] | Turkey | 5484 (73/70.1) | ORCS | 44 (0.8) |
Mauro et al., 2021 [27] | Italy | 4871 (78.3/75) | ORCS | 23 (0.47) |
Trindade et al., 2021 [28] | USA | 11,158 | CCS | 314 (3) |
Makker et al., 2021 [29] | Finland | 1206 (60.8/62) | ORCS | 37 (3.1) |
Popa et al., 2022 [30] | Romania | 1881 (66.6%) | ORCS | 11 (0.58) |
Prasoppokakorn et al., 2022 [31] | Thailand | 6373 (65.1/69.1) | ORCS | 43 (0.7) |
González et al., 2022 [32] | Spain | 74,814 | ORCS | 83 (1.11) |
Lak et al., 2022 [33] | China | 381 (61.4/62.6) | CS | 16 (4.2) |
Rosevics et al., 2021 [34] | Brazil | 631(54.2/56.7) | CS | 10 (1.6) |
Zellmer et al., 2021 [35] | NM | 5344 (57.1%) | SR | 97 (1.8) |
Abowali et al., 2022 [36] | USA | 651 (54.2/66) | ORCS | 16 (2.85) |
Abulawi et al., 2022 [37] | USA | 1007 (56/63) | CCS | 76 (8) |
Shalimar et al., 2021 [38] | India | 1342 (70.8/45.8) | ORCS | 24 (1.8) |
Lin et al., 2020 [39] | China | 95 (47/45.3) | ORCS | 6 (6.3) |
Shao et al., 2020 [40] | China | 18 (72.2/73.5) | ORCS | 1 (5.6) |
Fanning et al., 2023 [41] | NM | 11,969 | ORCS | 276 (2.3) |
Zhao et al., 2021 [42] | China | 368 (51.7/59) | ORCS | 43 (11.7) |
Martin et al., 2020 [43] | USA | 987 | CCS | 41 (4.15) |
Xiao et al., 2020 [44] | China | 73 (56.1/43) | ORCS | 10 (13.7) |
Al-Samkari et al., 2020 [45] | USA | 400 | ORCS | 19 (4.8) |
Wan et al., 2020 [46] | China | 232 (56/47) | ORCS | 10 (4) |
Mattioli et al., 2021 [47] | Italy | 105 (58/73.7) | ORCS | 2 (1.9) |
Patell et al., 2020 [48] | USA | 398 (52.5%) | ORCS | 33 (8.29) |
Bunch et al., 2021 [49] | USA | 79 (65.8/71) | ORCS | 2 (2.81) |
Qiu et al., 2021 [50] | China | 34 (71/66) | ORCS | 6 (17.6) |
Russell et al., 2022 [51] | Denmark | 1377 (68/68) | ORCS | 108 (8) |
Bychinin et al., 2022 [52] | Russia | 442 (43.5/78) | ORCS | 9 (2) |
Bonafni et al., 2022 [53] | Italy | 30 (63/68.5) | ORCS | 3 (10) |
Abdelmohsen et al., 2021 [54] | Kuwait | 30 (70/57.7) | ORCS | 6 (20) |
Neuberger et al., 2022 [55] | Germany | 51 | ORCS | 2 (3.90) |
Nikolay N. et al., 2022 [56] | Russia | 387 (29.9/65.4) | ORCS | 22 (5.7) |
Demelo-Rodriguez et al., 2021 [57] | Spain | 132 (47%) | ORCS | 25 (19) |
3.3. Clinical Findings
3.3.1. Comorbidities
3.3.2. Endoscopy Characteristics
3.3.3. Laboratory Findings
3.3.4. COVID-19 Treatments during Hospitalization in Patients with GIB
3.3.5. Outcomes
3.4. Quality Assessment
3.5. Meta-Analysis Results
Subgroup Analysis
Subgroup (1) According to Treatment
Subgroup (2) According to Location of Bleeding
3.6. Publication Bias
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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P (patient/population) | General Population |
I (intervention/exposure) | COVID-19 infection |
C (comparison) | - |
O (outcome) | Gastrointestinal Bleeding events/prevalence of GI bleeding |
Study ID | Hematocrit (%) | Hemoglobin (g/dL) | Platelet (×103/mm3) | Protomobin Time (s.) | International Normalized Ratio (INR) | D-Dimer (μg/mL) |
---|---|---|---|---|---|---|
Alakuş et al., 2022 [26] | 22.1–33.8 | 7.2–11.2 | 88–192 | 13.3–15.2 | 1.16–1.3 | 1.8–2.3 |
Mauro et al., 2021 [27] | NM | 9 (8.1–10.8) | NM | NM | NM | 0.919 (0.621–2.046) |
Trindade et al., 2021 [28] | NM | 7.80 (6.80, 10.00) | NM | NM | NM | NM |
Makker et al., 2021 [29] | NM | 12 (±3) | 236 (±143) | 13 | NM | 1.034 |
Prasoppokakorn et al., 2022 [31] | 22.5 ± 5.3 | 7.5 ± 1.8 (baseline: 12.6 ± 1.7) | NM | 15.6 ± 5.8 | 1.41 ± 0.54 | NM |
González et al., 2022 [32] | NM | 10.4 (3.2) | NM | NM | NM | NM |
Zellmer et al., 2021 [35] | NM | In 22.2% of patients, it was <12 | In 57.3% of patients, it was <200 | NM | In 8.6% of patients, it was >1.25 | NM |
Abowali et al., 2022 [36] | NM | NM | NM | 14.6 (13.5–16.8) | NM | 0.905 (0.508–4.924) |
Abulawi et al., 2022 [37] | NM | 10.1 ± 2.2 | NM | NM | NM | 2.10 (1.17–10.16) |
Shalimar et al., 2021 [38] | NM | 7.2 (5.8–9.0) | 90.5 (52–135) | NM | 1.2 (1.2–1.4) | NM |
Shao et al., 2020 [40] | NM | 11.9 ± 3.2 | 177.50 ± 110.57 | 12.20 (11.50–13.40) | NM | 0.49 (0.27–2.13) |
Zhao et al., 2021 [42] | NM | 12.6 (11.7–14.4) | 161.0 (113.0–238.0) | 14.2 (12.9–15.7) | NM | 2.1 (0.9–11.4) |
Martin et al., 2020 [43] | NM | 7.5 | 250 | NM | 1.2 | 4.34 |
Al-Samkari et al., 2020 [45] | NM | NM | 124 (95–154) | 16.3 (14.6–17.4) | 1.3 (1.2–1.4) | 3.6(2.1–4.7) |
Mattioli et al., 2021 [47] | NM | 12.1 (10.9–13) | 278.5 (186–348) | NM | 1.25 (1.2–1.4) | 1.4 (0.9–2.3) |
Russell et al., 2022 [51] | NM | 7.9 (6.7–8.6) | 214 (155–290) | NM | 1.1 (1.0–1.2) | 1.7 (1.0–4.2) |
Bychinin et al., 2022 [52] | NM | NM | 189 (83.3–243) | NM | NM | 0.98 (0.2–1.5) |
Bonafni et al., 2022 [53] | NM | NM | 239 (184–356) | NM | 1.17 (1.08–1.49) | 1.8 (1.1–3.1) |
Demelo-Rodriguez et al., 2021 [57] | 34% of patients were anemic | 34% of patients were anemic | In 6% of patients, it was <100,000 | In 32.5% of patients, it was >13.5 s | NM | In 94% of patients, it was >upper normal limit |
COVID-19 Treatments during Hospitalization in Patients with GIB | |
---|---|
Corticosteroids | 112 |
Anticoagulant and antiplatelet therapy | 215 |
LMWH | 110 |
PPI | 141 |
Study ID | Selection | Comparability | Outcome | Total | Quality | |||||
---|---|---|---|---|---|---|---|---|---|---|
Representativeness of the Exposed Cohort | Selection of the Non-Exposed Cohort | Ascertainment of Exposure | Demonstration that Outcome of Interest was not Present at the Start of the Study | Comparability of Cohorts on the Basis of the Design or Analysis Controlled for Confounders | Assessment of Outcome | Was Follow-Up Long enough for Outcomes to Occur | Adequacy of Follow-Up of Cohorts | |||
Abdelmohsen et al., 2021 [54] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Abowali et al., 2022 [36] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Abulawi et al., 2022 [37] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Alakuş et al., 2022 [26] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Al-Samkari et al., 2020 [45] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Bonafni et al., 2022 [53] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Bunch et al., 2021 [49] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Bychinin et al., 2022 [52] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Chen et al., 2021 [25] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Fanning et al., 2023 [41] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
González et al., 2022 [32] | * | * | * | * | ** | * | * | * | 9/9 | GOOD |
Lak et al., 2022 [33] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Lin et al., 2020 [39] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Makker et al., 2021 [29] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Martin et al., 2020 [43] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Mattioli et al., 2021 [47] | * | * | * | * | ** | * | * | * | 9/9 | GOOD |
Mauro et al., 2021 [27] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Neuberger et al., 2022 [55] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Nikolay N. et al., 2022 [56] | * | * | ** | * | * | * | 7/9 | GOOD | ||
Patell et al., 2020 [48] | * | * | ** | * | * | * | 8/9 | GOOD | ||
Popa et al., 2022 [30] | * | * | * | * | ** | * | * | * | 9/9 | GOOD |
Prasoppokakorn et al., 2022 [31] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Qiu et al., 2021 [50] | * | * | * | * | ** | * | * | * | 9/9 | GOOD |
Rosevics et al., 2021 [34] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Russell et al., 2022 [51] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Shalimar et al., 2021 [38] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Shao et al., 2020 [40] | * | * | ** | * | 5/9 | FAIR* | ||||
Trindade et al., 2021 [28] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Wan et al., 2020 [46] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Xiao et al., 2020 [44] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Zellmer et al., 2021 [35] | * | * | * | ** | * | * | * | 8/9 | GOOD | |
Zhao et al., 2021 [42] | * | * | * | ** | * | * | * | 8/9 | GOOD |
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Karlafti, E.; Tsavdaris, D.; Kotzakioulafi, E.; Protopapas, A.A.; Kaiafa, G.; Netta, S.; Savopoulos, C.; Michalopoulos, A.; Paramythiotis, D. The Prevalence of Gastrointestinal Bleeding in COVID-19 Patients: A Systematic Review and Meta-Analysis. Medicina 2023, 59, 1500. https://doi.org/10.3390/medicina59081500
Karlafti E, Tsavdaris D, Kotzakioulafi E, Protopapas AA, Kaiafa G, Netta S, Savopoulos C, Michalopoulos A, Paramythiotis D. The Prevalence of Gastrointestinal Bleeding in COVID-19 Patients: A Systematic Review and Meta-Analysis. Medicina. 2023; 59(8):1500. https://doi.org/10.3390/medicina59081500
Chicago/Turabian StyleKarlafti, Eleni, Dimitrios Tsavdaris, Evangelia Kotzakioulafi, Adonis A. Protopapas, Georgia Kaiafa, Smaro Netta, Christos Savopoulos, Antonios Michalopoulos, and Daniel Paramythiotis. 2023. "The Prevalence of Gastrointestinal Bleeding in COVID-19 Patients: A Systematic Review and Meta-Analysis" Medicina 59, no. 8: 1500. https://doi.org/10.3390/medicina59081500
APA StyleKarlafti, E., Tsavdaris, D., Kotzakioulafi, E., Protopapas, A. A., Kaiafa, G., Netta, S., Savopoulos, C., Michalopoulos, A., & Paramythiotis, D. (2023). The Prevalence of Gastrointestinal Bleeding in COVID-19 Patients: A Systematic Review and Meta-Analysis. Medicina, 59(8), 1500. https://doi.org/10.3390/medicina59081500