| Literature DB >> 35204458 |
Ranim Shartouni1, Roy Shartouni1, Maryam Mahmoodi1, Ilias P Nikas1.
Abstract
Pericardial effusions can be caused by diverse etiologies, including heart-related conditions, kidney failure, trauma, infections, autoimmune diseases, and cancer. This systematic review aimed to assess the role of cytology in identifying the most prevalent cancers related to malignant pericardial effusions (MPEs), the ability of cytology, compared to histology, to detect cancer while evaluating pericardial effusions, and the prognostic impact of MPEs. Four electronic databases were investigated using a predefined algorithm, and specific inclusion and exclusion criteria. We found that the most prevalent primaries associated with MPEs were lung (especially NSCLCs), breast, hematolymphoid, and gastrointestinal cancers. MPEs tended to be hemorrhagic rather than serous or serosanguinous and to occupy larger volumes compared to non-neoplastic effusions. In addition, cytology was shown to exhibit an enhanced ability to detect cancer compared to biopsy in most of the included studies. Lastly, the presence of an MPE was associated with poor prognosis, while survival depended on the specific cancer type detected. Particularly, prognosis was found to be worse when MPEs were caused by lung or gastric cancer, rather than breast or hematolymphoid malignancies. In conclusion, evidence suggests that cytologic evaluation has a significant diagnostic and prognostic impact in patients with MPEs.Entities:
Keywords: cancer; cytopathology; diagnosis; lung neoplasms; metastasis; pathology; pericardial fluid; prognosis; sensitivity and specificity; survival analysis
Year: 2022 PMID: 35204458 PMCID: PMC8871495 DOI: 10.3390/diagnostics12020367
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Inclusion and exclusion criteria of this systematic review.
|
|
| Malignant pericardial effusions diagnosed with cytology (with or without histology correlation) |
| Testing on humans |
|
|
| 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 |
Figure 1Flowchart of this systematic review.
Presence of pericardial malignancy in the included studies.
| 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 [ | 96 | 33/63 | 12/29 (29.3%/70.7%) | 112 | 45 | 40.18% |
| Campbell et al., 1992 [ | 25 | 15/10 | 15/10 (60%/40%) | 25 | 11 | 44.00% |
| Cullinane et al., 2004 [ | 63 | 41/22 | NA | 58 | 28 | 48.28% |
| Dermawan and Policarpio-Nicolas, 2020 [ | 1285 | 658/627 | 88/67 (57%/43%) | 1285 | 155 | 12.06% |
| Di Liso et al., 2019 [ | 29 | 14/15 | NA | 15 | 10 | 66.67% |
| Dragoescu and Liu, 2013 [ | 113 | 57/56 | 23/8 (74.2%/25.8%) | 128 | 31 | 24.22% |
| Edoute et al., 1992 [ | 62 | 21/21 | 21/21 (50%/50%) | 60 | 42 | 70.00% |
| García-Riego et al., 2001 [ | 375 | 18/47 | 18/47 (27.7%/72.3%) | 375 | 65 | 17.33% |
| Gecmen et al., 2017 [ | 283 | 121/162 | NA | 283 | 44 | 15.55% |
| Gornik et al., 2005 [ | 219 | 103/116 | NA | 182 | 52 | 28.57% |
| Gupta et al., 2000 [ | 76 | 30/46 | NA | 76 | 22 | 28.95% |
| Gupta et al., 2012 [ | NA | NA | NA | 204 | 10 | 4.90% |
| Haskell and French, 1985 [ | 56 | NA | NA | 27 | 22 | 81.48% |
| He et al., 2017 [ | 116 | 38/78 | NA | 116 | 43 | 37.07% |
| Hou et al., 2020 [ | NA | NA | NA | 2405 | 1260 | 52.39% |
| Jeon et al., 2014 [ | 55 | 24/31 | NA | 55 | 34 | 61.81% |
| Kabukcu et al., 2004 [ | 50 | 16/34 | NA | 50 | 15 | 30.00% |
| Kil et al., 2007 [ | 116 | 65/51 | NA | 116 | 27 | 23.28% |
| Krikorian and Hancock, 1978 [ | 123 | 65/58 | NA | 96 | 16 | 16.70% |
| Lekhakul et al., 2018 [ | 171 | 80/91 | NA | 164 | 95 | 58.00% |
| Lobo et al., 2020 [ | 56 | 43/21 | 27/13 (68%/32%) | 64 | 40 | 62.50% |
| Lopez et al., 1983 [ | 12 | 8/4 | 8/4 (67%/33%) | 12 | 11 | 91.60% |
| Maisch et al., 2010 [ | 68 | 28/40 | 12/30 (28.6%/71.4%) | 68 | 42 | 61.76% |
| Malamou-Mitsi et al., 1995 [ | 44 | 23/ 21 | NA | 53 | 16 | 36.36% |
| Medary et al., 1996 [ | 9 | 2/7 | NA | 9 | 1 | 11.11% |
| Mirhosseini et al., 2012 [ | 153 | 64/89 | NA | 113 | 50 | 44.25% |
| Neragi-Miandoab et al., 2008 [ | 62 | 28/34 | NA | 48 | 27 | 56.25% |
| Parsons and Jarzembowski, 2016 [ | NA | NA | NA | 28 | 3 | 10.70% |
| Patel et al., 2013 [ | 88 | 53/35 | NA | 88 | 43 | 48.86% |
| Razek and Samir, 2019 [ | 41 | 12/29 | NA | 28 | 17 | 42.50% |
| Robles et al., 1997 [ | 22 | 13/9 | 5/3 (62.5%/37.5%) | 22 | 4 | 18.18% |
| Rodriguez et al., 2020 [ | 299 | 162/137 | 28/6 (82%/18%) | 299 | 34 | 11.37% |
| Rossi et al., 2015 [ | 3171 | 1463/1708 | NA | 252 | 36 | 14.29% |
| Saab et al., 2016 [ | 364 | 188/176 | NA | 419 | 62 | 15.00% |
| Sarigul et al., 1999 [ | 305 | 107/198 | NA | 38 | 14 | 36.80% |
| Strobbe et al., 2017 [ | 269 | 119/150 | NA | 208 | 68 | 32.69% |
| Volk et al., 2019 [ | 113 | 56/57 | NA | 113 | 16 | 14.16% |
| Wagner et al., 2010 [ | 174 | 114/65 | NA | 179 | NA | NA |
| Wilkes et al., 1995 [ | 127 | 63/64 | NA | 112 | 65 | 58.04% |
| Yonemori et al., 2007 [ | 88 | 30/30 | NA | 88 | 60 | 68.18% |
| Zhu et al., 2015 [ | 1022 | 550/472 | NA | 1022 | 158 | 15.46% |
| Zipf and Johnston, 1972 [ | 47 | NA | NA | 61 | 13 | 27.66% |
Abbreviations: NA, not available; F, female; M, male.
Figure 2Most prevalent cancer primaries in malignant pericardial effusions. In the included studies, results were reported with cytology or a combination of cytology and biopsy.
Figure 3Most prevalent cancer primaries in malignant pericardial effusions diagnosed exclusively with cytology.
Comparison of cytology and histology for detecting cancer in pericardial effusions. The studies showing differences in their cytology vs. histology findings are compared, and the resulting p-values are shown in the Table. Results exhibiting differences between cytology and histology, also p-values < 0.05, are highlighted with Bold.
| First Author, Year | C (+)/H (+) | C (+)/H (−) | C (−)/H (+) | C (−)/H (−) | C (+)/H (NA) | C (+)/H (NA) | |
|---|---|---|---|---|---|---|---|
| Bardales et al., 1996 [ | 45 | 0 | 0 | 16 | 0 | 51 | |
| Campbell et al., 1992 [ | 5 |
|
| 14 | 0.08 | 0 | 0 |
| Cullinane et al., 2004 [ | 15 |
|
| 28 |
| 0 | 2 |
| Dragoescu and Liu, 2013 [ | 6 |
|
| 30 | 0.62 | 19 | 64 |
| ‡ Edoute et al., 1992 [ | 7 | 2 | 2 | 1 | 35 | 13 | |
| He et al., 2017 [ | 13 | 0 | 0 | 0 | 30 | 73 | |
| Jeon et al., 2014 [ | 34 | 0 | 0 | 21 | 0 | 0 | |
| Kabukcu et al., 2004 [ | 1 | 0 | 0 | 0 | 14 | 35 | |
| Krikorian and Hancock, 1978 [ | 16 |
|
| 7 | 0.76 | 0 | 39 |
| ‡ Lobo et al., 2020 [ | 10 | 0 | 0 | 3 | 30 | 21 | |
| Lopez et al., 1983 [ | 5 |
|
| 0 |
| 0 | 0 |
| Maisch et al., 2010 [ | 5 |
|
| 26 |
| 0 | 0 |
| ‡ Malamou-Mitsi et al., 1995 [ | 10 | 0 | 0 | 9 | 6 | 19 | |
| Mirhosseini et al., 2012 [ | 30 |
|
| 55 | 0.13 | 0 | 0 |
| Patel et al., 2013 [ | 15 |
|
| 13 | 0.17 | 19 | 30 |
| Robles et al., 1997 [ | 0 |
|
| 16 | 0.49 | 4 | 0 |
| ‡ Rossi et al., 2015 [ | 36 | 0 | 0 | 30 | 0 | 186 | |
| Saab et al., 2016 [ | 18 |
|
| 142 | 0.11 | 27 | 210 |
| Sarigul et al., 1999 [ | 8 |
|
| 19 | 1.00 | 1 | 1 |
| Strobbe et al., 2017 [ | 4 | 1 | 1 | 8 | 63 | 131 | |
| Volk et al., 2019 [ | 8 |
|
| 95 | 0.30 | 0 | 0 |
| ‡ Wilkes et al., 1995 [ | 34 |
|
| 23 | 0.13 | 18 | 21 |
| Zhu et al., 2015 [ | 15 |
|
| 18 | 0.18 | 143 | 838 |
| Zipf and Johnston, 1972 [ | 13 |
|
| 32 | 0.82 | 0 | 0 |
Note: The Fisher’s exact test was used to compare the ability of cytology vs. biopsy to detect cancer while evaluating pericardial effusions; p-values < 0.05 were considered significant. ‡ In these studies, positive cytology (C+) included both suspicious and positive original interpretations. Abbreviations: NA, not available; C, cytology; H, histology.
Studies highlighting the prognostic impact of cancer-associated and malignant pericardial effusions.
| First Author, Year | Main Prognostic Findings |
|---|---|
| Campbell et al., 1992 [ |
In a cohort composed of 25 patients with malignancy, a higher 12-month mortality was found in MPEs compared to noncancerous effusions (91% vs. 57%, respectively) |
| Cullinane et al., 2004 [ |
When evaluated preoperatively, the presence of a MPE confirmed either with cytology or biopsy and a NSCLC diagnosis were associated with shorter OS ( Effusions associated with lung cancer were associated with shorter survival rate than breast ( |
| Gornik et al., 2005 [ |
In a cohort composed of cancer-associated pericardial effusions, the presence of suspicious/malignant cytology was linked with shorter median survival compared to normal cytology (7.3 vs. 29.7 weeks; When analyzing the subgroup composed of lung cancer-associated pericardial effusions, suspicious/positive cytology was linked with a shorter median survival compared to normal cytology (6.1 vs. 40.4 weeks, respectively, Effusions associated with lung or other solid cancers were associated with a reduced median survival (11.1 and 5.1 weeks, respectively) in comparison to hematolymphoid malignancies or breast cancer (45.6 and 43.0 weeks, respectively, log-rank |
| He et al., 2017 [ |
MPEs showed shorter median OS compared to the non-malignant ones (4 months vs. 10 months, respectively; |
| Jeon et al., 2014 [ |
Patients with MPEs, confirmed either with cytology or biopsy, exhibited decreased OS (HR = 1.964; 95% CI, 1.053–3.663; The median survival was 2 months for the positive, yet 8 months for the negative pericardial effusions |
| Kil et al., 2008 [ |
MPEs were associated with a higher 6-month mortality rate than the non-malignant ones (80.3% vs. 18.2%); patients with lung cancer exhibited the highest mortality (84.4%) Patients with MPEs showed shorter survival than the ones with normal effusions (log-rank; Patients with lymphoma or breast malignancies exhibited longer survival (11.4 and 7.7 months, respectively), than patients with stomach malignancies or metastases of unknown origin (1.2 and 2.3 months, respectively) |
| Lekhakul et al., 2018 [ |
Patients with hematolymphoid malignancies exhibited longer survival compared to patients with either sarcomas or carcinomas (median survival: 102 vs. 12 weeks, Patients with hematolymphoid malignancies exhibited lower mortality than the ones from sarcomas or carcinomas ( |
| Mirhosseini et al., 2012 [ |
History of positive lung (HR = 2.894; 95% CI, 1.362–6.147; Positive cytology was associated with shorter OS ( |
| Neragi-Miandoab et al., 2008 [ |
Mean survival was shorter in patients with positive pericardial cytology compared to patients with negative cytology (4.89 +/− 0.9 months vs. 13.4 +/− 0.98 months, respectively; Effusions associated with esophageal and lung cancer exhibited shorter 2-year OS, compared to “other cancers” (17.8% vs. 32%, respectively; |
| Strobbe et al., 2017 [ |
Cancer-associated pericardial effusions were associated with shorter survival (HR = 3.01; 95% CI, 1.66–5.45; MPEs were associated with shorter survival compared to the non-malignant ones (HR = 3.31; 95% CI, 2.37–4.61; |
| Wilkes et al., 1995 [ |
In a cohort composed of 127 cancer-associated pericardial effusions, most patients that survived 12 months or more had a hematolymphoid malignancy or breast cancer |
| Yonemori et al., 2007 [ |
Positive pericardial cytology was associated with shorter OS (HR = 3.1; 95% CI, 1.5–6.3; |
Abbreviations: MPEs, malignant pericardial effusions; NSCLC, non-small cell lung carcinoma; OS, overall survival; HR, hazard ratio.