The Value of Cytology in the Evaluation of Malignant Pericardial Effusions: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Study Selection
2.3. Data Extraction
2.4. Study Outcomes
- The role of cytology in identifying specific cancer primaries associated with MPEs;
- The ability of cytology, compared to histology, to detect cancer while evaluating pericardial effusions;
- The prognostic impact of MPEs.
3. Results
3.1. Literature Search
3.2. Study and Patient Characteristics
3.3. Cancer Types Associated with MPEs
3.4. Cytology vs. Histology for Cancer Detection While Evaluating Pericardial Effusions
3.5. Prognostic Impact of MPEs
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Inclusion Criteria |
Malignant pericardial effusions diagnosed with cytology (with or without histology correlation) |
Testing on humans |
Exclusion Criteria |
Articles without any pericardial effusion data (e.g., containing only pleural, peritoneal fluid data) |
Articles describing only non-neoplastic pericardial effusions |
Articles without any cytologic data (e.g., containing only tissue biopsy data) |
Testing on animal models or cell lines only |
Case reports, conference abstracts, reviews, and editorials |
Small case series (less than or equal to five patients) |
Languages other than English |
Articles describing only a single cancer type (e.g., mesothelioma) |
Articles describing only a single category of cancers (e.g., lymphoid neoplasms) |
Inability to extract data |
First Author, Year | Total No. of Patients | Gender (F/M) | % Malignancy (F/M) | Total No. of Samples | No. of Samples with Malignant Cytology | % Malignancy (Samples) |
---|---|---|---|---|---|---|
Bardales et al., 1996 [18] | 96 | 33/63 | 12/29 (29.3%/70.7%) | 112 | 45 | 40.18% |
Campbell et al., 1992 [13] | 25 | 15/10 | 15/10 (60%/40%) | 25 | 11 | 44.00% |
Cullinane et al., 2004 [24] | 63 | 41/22 | NA | 58 | 28 | 48.28% |
Dermawan and Policarpio-Nicolas, 2020 [4] | 1285 | 658/627 | 88/67 (57%/43%) | 1285 | 155 | 12.06% |
Di Liso et al., 2019 [25] | 29 | 14/15 | NA | 15 | 10 | 66.67% |
Dragoescu and Liu, 2013 [3] | 113 | 57/56 | 23/8 (74.2%/25.8%) | 128 | 31 | 24.22% |
Edoute et al., 1992 [19] | 62 | 21/21 | 21/21 (50%/50%) | 60 | 42 | 70.00% |
García-Riego et al., 2001 [17] | 375 | 18/47 | 18/47 (27.7%/72.3%) | 375 | 65 | 17.33% |
Gecmen et al., 2017 [21] | 283 | 121/162 | NA | 283 | 44 | 15.55% |
Gornik et al., 2005 [26] | 219 | 103/116 | NA | 182 | 52 | 28.57% |
Gupta et al., 2000 [27] | 76 | 30/46 | NA | 76 | 22 | 28.95% |
Gupta et al., 2012 [28] | NA | NA | NA | 204 | 10 | 4.90% |
Haskell and French, 1985 [29] | 56 | NA | NA | 27 | 22 | 81.48% |
He et al., 2017 [22] | 116 | 38/78 | NA | 116 | 43 | 37.07% |
Hou et al., 2020 [30] | NA | NA | NA | 2405 | 1260 | 52.39% |
Jeon et al., 2014 [31] | 55 | 24/31 | NA | 55 | 34 | 61.81% |
Kabukcu et al., 2004 [32] | 50 | 16/34 | NA | 50 | 15 | 30.00% |
Kil et al., 2007 [33] | 116 | 65/51 | NA | 116 | 27 | 23.28% |
Krikorian and Hancock, 1978 [34] | 123 | 65/58 | NA | 96 | 16 | 16.70% |
Lekhakul et al., 2018 [35] | 171 | 80/91 | NA | 164 | 95 | 58.00% |
Lobo et al., 2020 [11] | 56 | 43/21 | 27/13 (68%/32%) | 64 | 40 | 62.50% |
Lopez et al., 1983 [12] | 12 | 8/4 | 8/4 (67%/33%) | 12 | 11 | 91.60% |
Maisch et al., 2010 [16] | 68 | 28/40 | 12/30 (28.6%/71.4%) | 68 | 42 | 61.76% |
Malamou-Mitsi et al., 1995 [36] | 44 | 23/ 21 | NA | 53 | 16 | 36.36% |
Medary et al., 1996 [37] | 9 | 2/7 | NA | 9 | 1 | 11.11% |
Mirhosseini et al., 2012 [38] | 153 | 64/89 | NA | 113 | 50 | 44.25% |
Neragi-Miandoab et al., 2008 [6] | 62 | 28/34 | NA | 48 | 27 | 56.25% |
Parsons and Jarzembowski, 2016 [39] | NA | NA | NA | 28 | 3 | 10.70% |
Patel et al., 2013 [40] | 88 | 53/35 | NA | 88 | 43 | 48.86% |
Razek and Samir, 2019 [41] | 41 | 12/29 | NA | 28 | 17 | 42.50% |
Robles et al., 1997 [15] | 22 | 13/9 | 5/3 (62.5%/37.5%) | 22 | 4 | 18.18% |
Rodriguez et al., 2020 [14] | 299 | 162/137 | 28/6 (82%/18%) | 299 | 34 | 11.37% |
Rossi et al., 2015 [42] | 3171 | 1463/1708 | NA | 252 | 36 | 14.29% |
Saab et al., 2016 [43] | 364 | 188/176 | NA | 419 | 62 | 15.00% |
Sarigul et al., 1999 [23] | 305 | 107/198 | NA | 38 | 14 | 36.80% |
Strobbe et al., 2017 [20] | 269 | 119/150 | NA | 208 | 68 | 32.69% |
Volk et al., 2019 [44] | 113 | 56/57 | NA | 113 | 16 | 14.16% |
Wagner et al., 2010 [45] | 174 | 114/65 | NA | 179 | NA | NA |
Wilkes et al., 1995 [46] | 127 | 63/64 | NA | 112 | 65 | 58.04% |
Yonemori et al., 2007 [47] | 88 | 30/30 | NA | 88 | 60 | 68.18% |
Zhu et al., 2015 [48] | 1022 | 550/472 | NA | 1022 | 158 | 15.46% |
Zipf and Johnston, 1972 [49] | 47 | NA | NA | 61 | 13 | 27.66% |
First Author, Year | C (+)/H (+) | C (+)/H (−) | C (−)/H (+) | C (−)/H (−) | p-Value | C (+)/H (NA) | C (+)/H (NA) |
---|---|---|---|---|---|---|---|
Bardales et al., 1996 [18] | 45 | 0 | 0 | 16 | 0 | 51 | |
Campbell et al., 1992 [13] | 5 | 6 | 0 | 14 | 0.08 | 0 | 0 |
Cullinane et al., 2004 [24] | 15 | 13 | 0 | 28 | 0.02 | 0 | 2 |
Dragoescu and Liu, 2013 [3] | 6 | 6 | 3 | 30 | 0.62 | 19 | 64 |
‡ Edoute et al., 1992 [19] | 7 | 2 | 2 | 1 | 35 | 13 | |
He et al., 2017 [22] | 13 | 0 | 0 | 0 | 30 | 73 | |
Jeon et al., 2014 [31] | 34 | 0 | 0 | 21 | 0 | 0 | |
Kabukcu et al., 2004 [32] | 1 | 0 | 0 | 0 | 14 | 35 | |
Krikorian and Hancock, 1978 [34] | 16 | 0 | 2 | 7 | 0.76 | 0 | 39 |
‡ Lobo et al., 2020 [11] | 10 | 0 | 0 | 3 | 30 | 21 | |
Lopez et al., 1983 [12] | 5 | 6 | 1 | 0 | 0.04 | 0 | 0 |
Maisch et al., 2010 [16] | 5 | 32 | 5 | 26 | <0.001 | 0 | 0 |
‡ Malamou-Mitsi et al., 1995 [36] | 10 | 0 | 0 | 9 | 6 | 19 | |
Mirhosseini et al., 2012 [38] | 30 | 20 | 8 | 55 | 0.13 | 0 | 0 |
Patel et al., 2013 [40] | 15 | 9 | 2 | 13 | 0.17 | 19 | 30 |
Robles et al., 1997 [15] | 0 | 0 | 2 | 16 | 0.49 | 4 | 0 |
‡ Rossi et al., 2015 [42] | 36 | 0 | 0 | 30 | 0 | 186 | |
Saab et al., 2016 [43] | 18 | 17 | 5 | 142 | 0.11 | 27 | 210 |
Sarigul et al., 1999 [23] | 8 | 5 | 4 | 19 | 1.00 | 1 | 1 |
Strobbe et al., 2017 [20] | 4 | 1 | 1 | 8 | 63 | 131 | |
Volk et al., 2019 [44] | 8 | 8 | 2 | 95 | 0.30 | 0 | 0 |
‡ Wilkes et al., 1995 [46] | 34 | 13 | 3 | 23 | 0.13 | 18 | 21 |
Zhu et al., 2015 [48] | 15 | 0 | 6 | 18 | 0.18 | 143 | 838 |
Zipf and Johnston, 1972 [49] | 13 | 0 | 2 | 32 | 0.82 | 0 | 0 |
First Author, Year | Main Prognostic Findings |
---|---|
Campbell et al., 1992 [13] |
|
Cullinane et al., 2004 [24] |
|
Gornik et al., 2005 [26] |
|
He et al., 2017 [22] |
|
Jeon et al., 2014 [31] |
|
Kil et al., 2008 [33] |
|
Lekhakul et al., 2018 [35] |
|
Mirhosseini et al., 2012 [38] |
|
Neragi-Miandoab et al., 2008 [6] |
|
Strobbe et al., 2017 [20] |
|
Wilkes et al., 1995 [46] |
|
Yonemori et al., 2007 [47] |
|
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Shartouni, R.; Shartouni, R.; Mahmoodi, M.; Nikas, I.P. The Value of Cytology in the Evaluation of Malignant Pericardial Effusions: A Systematic Review. Diagnostics 2022, 12, 367. https://doi.org/10.3390/diagnostics12020367
Shartouni R, Shartouni R, Mahmoodi M, Nikas IP. The Value of Cytology in the Evaluation of Malignant Pericardial Effusions: A Systematic Review. Diagnostics. 2022; 12(2):367. https://doi.org/10.3390/diagnostics12020367
Chicago/Turabian StyleShartouni, Ranim, Roy Shartouni, Maryam Mahmoodi, and Ilias P. Nikas. 2022. "The Value of Cytology in the Evaluation of Malignant Pericardial Effusions: A Systematic Review" Diagnostics 12, no. 2: 367. https://doi.org/10.3390/diagnostics12020367
APA StyleShartouni, R., Shartouni, R., Mahmoodi, M., & Nikas, I. P. (2022). The Value of Cytology in the Evaluation of Malignant Pericardial Effusions: A Systematic Review. Diagnostics, 12(2), 367. https://doi.org/10.3390/diagnostics12020367