| Literature DB >> 31853312 |
Qingjian Ye1, Zhixi Wu2, Tingting Xia3, Dong Liu1, Yuebo Yang1, Hong Tang4.
Abstract
The aim of the present meta-analysis study was to determine the association between pre-treatment thrombocytosis and prognosis of patients with endometrial cancer. Articles published prior to December 2018 containing information on platelet count and endometrial cancer were searched in the PubMed, Embase and the Cochrane Library databases. A platelet count of ≥350 or >400×109/l was considered to indicate thrombocytosis. Hazard ratios (HRs) with 95% CI were calculated using a random- or fixed-effects model to assess the strength of the associations. A Funnel plot and Egger's test were used to evaluate the publication bias and sensitivity analyses were performed to estimate the robustness of the present results by using Stata 13.0 software. A pooled analysis of 11 studies that met the inclusion criteria was performed, involving a total of 2,590 patients with endometrial cancer. The overall survival (OS), progression-free survival (PFS) and disease-free survival (DFS) time of patients with endometrial cancer who exhibited pre-treatment thrombocytosis were shorter than those in patients without pre-treatment thrombocytosis (OS, HR=2.25, 95% CI=1.26-4.00; PFS, HR=2.60, 95% CI=1.23-5.50; DFS, HR=2.23, 95% CI=1.45-3.42). However, pre-treatment thrombocytosis was not associated with disease-specific survival time in patients with endometrial cancer (HR=2.17, 95% CI=0.51-9.27; P=0.296). Subgroup analysis indicated that pre-treatment thrombocytosis was not associated with OS time in patients of Asian and European ethnicity. Furthermore, pre-treatment thrombocytosis (platelet count >400×109/l) was an independent predictor of OS, PFS and DFS regardless of the clinical stage. Copyright: © Ye et al.Entities:
Keywords: endometrial cancer; meta-analysis; pre-treatment thrombocytosis; prognostic indicator
Year: 2019 PMID: 31853312 PMCID: PMC6909484 DOI: 10.3892/etm.2019.8205
Source DB: PubMed Journal: Exp Ther Med ISSN: 1792-0981 Impact factor: 2.447
Figure 1.Approach used in the present study to examine previous literature and select studies for inclusion.
Basic characteristics of the 11 studies included in the present meta-analysis.
| Author (year) | Country | Case number | FIGO stage | Age (years) | Cut-off | Follow-up time[ | Category | Adjusted[ | Survival analysis | (Refs.) |
|---|---|---|---|---|---|---|---|---|---|---|
| Takahashi (2017) | Japan | 508 | I–IV | 58.0±10.5 | >400,000 | Unclear | Endometrial cancer | Yes | OS | ( |
| Abu-Zaid (2017) | Saudi Arabia | 162 | I–IV | 59.0±11.0 | >400,000 | Unclear | Endometrial cancer | Yes | OS, DFS | ( |
| Younes (2016) | Israel | 56 | I–IV | 69.4±15.0 | >400,000 | 76.8 | USPC | No | OS | ( |
| Nakamura (2016) | Japan | 108 | I–IV | 60.0 (27.0–87.0)[ | ≥350,000 | Unclear | Endometrial cancer | No | OS, PFS | ( |
| Kizer (2015) | USA | 318 | I–IV | Unclear | >400,000 | 25.6/23.1 | Endometrial cancer | Yes | DSS, DFS | ( |
| Heng (2014) | Thailand | 238 | I–IV | 57.9±10.0 | >400,000 | 59.6 (1.0–98.0) | Endometrial cancer | Yes | OS, DFS | ( |
| Njølstad (2013) | Norway | 557 | I–IV | 66.2±11.7 | >390,000 | 55.0 (0.0–97.0) | Endometrial cancer | No | DSS | ( |
| Matsuo (2013) | USA | 516 | I–IV | 52.0±10.4 | >400,000 | 43.7 | Endometrial cancer | No | OS, PFS | ( |
| Gorelick (2009) | USA | 29 | III–IV | Unclear | Continuous | Unclear | Endometrial cancer | Yes: OS No: PFS | OS, PFS[ | ( |
| Lerner (2007) | USA | 39 | III–IV | Unclear | >400,000 | Unclear | USPC | Yes: OS | OS | ( |
| Scholz (2000) | Turkey | 59 | III–IV | 64.8 | >400,000 | Unclear | Endometrial cancer | No | OS[ | ( |
Median (range).
Adjusted: Data from multivariate analysis with Cox proportional hazards regression model
Data from survival curve. FIGO, International Federation of Gynecologists and Obstetricians; OS, overall survival; DFS, disease-free survival; DSS, disease-specific survival; PFS, progression-free survival; USPC, uterine serous papillary carcinoma.
Quality evaluation results of 11 studies included in the present meta-analysis.
| Study | Grouping method | Blinding | ITT | Baseline data | Diagnostic criteria | Confrontation factor control | Quality level[ | (Refs.) |
|---|---|---|---|---|---|---|---|---|
| Takahashi (2017) | 2 | 0 | 2 | 2 | 2 | 2 | 10 | ( |
| Abu-Zaid (2017) | 2 | 0 | 2 | 1 | 2 | 2 | 9 | ( |
| Younes (2016) | 2 | 0 | 2 | 1 | 2 | 0 | 7 | ( |
| Nakamura (2016) | 2 | 0 | 2 | 1 | 2 | 0 | 7 | ( |
| Kizer (2015) | 2 | 0 | 2 | 2 | 2 | 2 | 10 | ( |
| Heng (2014) | 2 | 0 | 2 | 1 | 2 | 2 | 9 | ( |
| Njølstad (2013) | 2 | 0 | 2 | 1 | 2 | 0 | 7 | ( |
| Matsuo (2013) | 2 | 0 | 2 | 1 | 2 | 0 | 7 | ( |
| Gorelick (2009) | 2 | 0 | 2 | 2 | 2 | 1 | 9 | ( |
| Lerner (2007) | 2 | 0 | 2 | 1 | 2 | 1 | 8 | ( |
| Scholz (2000) | 2 | 0 | 2 | 1 | 2 | 2 | 9 | ( |
ITT, intention to treat
A score of 1 to 6 indicated low quality, whereas a score of 7 to 12 indicated higher quality.
Figure 2.Forest plot of studies evaluating the association between pre-treatment thrombocytosis and overall survival in patients with endometrial cancer. HR, hazard ratio.
Subgroup analyses of the association between pre-treatment thrombocytosis and overall survival.
| Variable | Number of studies | HR (95%) | Z | P-value | I2 (%) | P-value |
|---|---|---|---|---|---|---|
| Year of publication | ||||||
| 2000–2014 | 5 | 2.916 (1.534–5.543) | 3.26 | 0.001 | 56.9 | 0.055 |
| 2015–2017 | 5 | 2.296 (1.002–5.262) | 1.96 | 0.049 | 88.7 | <0.001 |
| Region | ||||||
| Asia | 5 | 2.207 (0.772–6.311) | 1.48 | 0.140 | 89.0 | <0.001 |
| Europe | 2 | 2.687 (0.823–8.774) | 1.64 | 0.102 | 66.6 | 0.084 |
| America | 3 | 2.874 (1.388–5.952) | 2.84 | 0.004 | 73.4 | 0.023 |
| Number of cases | ||||||
| <150 | 5 | 2.202 (1.388–3.492) | 3.35 | 0.001 | 26.5 | 0.245 |
| >150 | 5 | 2.779 (1.041–7.420) | 2.04 | 0.041 | 91.2 | <0.001 |
| Type of cancer | ||||||
| USPC | 2 | 2.078 (0.969–4.457) | 1.88 | 0.060 | 2.1 | 0.312 |
| Endometrial cancer | 8 | 2.598 (1.355–4.982) | 2.88 | 0.004 | 86.0 | <0.001 |
| Analysis | ||||||
| Multivariate | 9 | 1.733 (1.430–2.100) | 5.61 | <0.001 | 50.9 | 0.038 |
| Single factor | 4 | 1.886 (1.117–3.186) | 2.37 | 0.018 | 63.8 | 0.040 |
| Platelet count cut-off (×103/mm3) | ||||||
| ≥350 | 1 | 1.367 (0.303–6.171) | 0.41 | 0.684 | – | – |
| >400 | 8 | 2.771 (1.382–5.557) | 2.87 | 0.004 | 85.7 | <0.001 |
| Continuous | 1 | 1.714 (1.055–2.785) | 2.18 | 0.030 | – | – |
Pooled analysis was performed by generic inverse variance. USPC, uterine serous papillary carcinoma; HR, hazard ratio; FIGO, International Federation of Gynecology and Obstetrics.
Figure 3.Egger's test and sensitivity analysis chart. (A) Egger's test of studies evaluating the potential publication bias. (B) Graph indicating the impact of a single study on the results. SND, standard error.