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Diagnostic value of circulating chromogranin a for neuroendocrine tumors: a systematic review and meta-analysis.

Yang X, Yang Y, Li Z, Cheng C, Yang T, Wang C, Liu L, Liu S - PLoS ONE (2015)

Bottom Line: In addition, the area under the curve (AUC) of the circulating CgA in the diagnosis of NETs was 0.8962.These data demonstrate that circulating CgA is an efficient biomarker for the diagnosis of NETs with high sensitivity and specificity, which indicates that it may be helpful for the clinical management of NETs.However, further studies are needed to clarify this issue.

View Article: PubMed Central - PubMed

Affiliation: Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

ABSTRACT

Background: In previous decades, chromogranin A (CgA) has been demonstrated to be the most promising biomarker for the diagnosis of neuroendocrine tumors (NETs), but its diagnostic value is still controversial. This meta-analysis aimed to estimate the potential diagnostic value of circulating CgA for NETs.

Methods: We collected relevant studies from several electronic databases as well as from reference lists. Diagnostic indices of CgA were pooled with random effects models. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristic (SROC) curves for the diagnosis of NETs were used to estimate the overall diagnostic efficiency.

Results: Through a search strategy, 13 studies met the inclusion criteria and were included. These studies contained 1260 patients with NETs and 967 healthy controls in the total sample. As a result, the overall sensitivity, specificity and diagnostic odds ratio (DOR) were 0.73 (95% CI: 0.71 to 0.76), 0.95 (95% CI: 0.93 to 0.96) and 56.29 (95% CI: 25.27 to 125.38), respectively, while the summary positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 14.56 (95% CI: 6.62 to 32.02) and 0.26 (95% CI: 0.18 to 0.38), respectively. In addition, the area under the curve (AUC) of the circulating CgA in the diagnosis of NETs was 0.8962.

Conclusions: These data demonstrate that circulating CgA is an efficient biomarker for the diagnosis of NETs with high sensitivity and specificity, which indicates that it may be helpful for the clinical management of NETs. However, further studies are needed to clarify this issue.

No MeSH data available.


Related in: MedlinePlus

The funnel plots of publication bias.Every point represents one study, and the line is the regression line. The funnel shape is symmetrical, which indicates no publication bias.
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pone.0124884.g004: The funnel plots of publication bias.Every point represents one study, and the line is the regression line. The funnel shape is symmetrical, which indicates no publication bias.

Mentions: It is recognized that publication bias is another important influential factor for overall diagnostic performance[36]. Therefore, a funnel plot was used to investigate whether all studies drew from a single population and to search for publication bias. The results showed a symmetrical funnel shape that indicated the absence of publication bias, which can be observed in Fig 4; the P value is 0.683.


Diagnostic value of circulating chromogranin a for neuroendocrine tumors: a systematic review and meta-analysis.

Yang X, Yang Y, Li Z, Cheng C, Yang T, Wang C, Liu L, Liu S - PLoS ONE (2015)

The funnel plots of publication bias.Every point represents one study, and the line is the regression line. The funnel shape is symmetrical, which indicates no publication bias.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4403810&req=5

pone.0124884.g004: The funnel plots of publication bias.Every point represents one study, and the line is the regression line. The funnel shape is symmetrical, which indicates no publication bias.
Mentions: It is recognized that publication bias is another important influential factor for overall diagnostic performance[36]. Therefore, a funnel plot was used to investigate whether all studies drew from a single population and to search for publication bias. The results showed a symmetrical funnel shape that indicated the absence of publication bias, which can be observed in Fig 4; the P value is 0.683.

Bottom Line: In addition, the area under the curve (AUC) of the circulating CgA in the diagnosis of NETs was 0.8962.These data demonstrate that circulating CgA is an efficient biomarker for the diagnosis of NETs with high sensitivity and specificity, which indicates that it may be helpful for the clinical management of NETs.However, further studies are needed to clarify this issue.

View Article: PubMed Central - PubMed

Affiliation: Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

ABSTRACT

Background: In previous decades, chromogranin A (CgA) has been demonstrated to be the most promising biomarker for the diagnosis of neuroendocrine tumors (NETs), but its diagnostic value is still controversial. This meta-analysis aimed to estimate the potential diagnostic value of circulating CgA for NETs.

Methods: We collected relevant studies from several electronic databases as well as from reference lists. Diagnostic indices of CgA were pooled with random effects models. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristic (SROC) curves for the diagnosis of NETs were used to estimate the overall diagnostic efficiency.

Results: Through a search strategy, 13 studies met the inclusion criteria and were included. These studies contained 1260 patients with NETs and 967 healthy controls in the total sample. As a result, the overall sensitivity, specificity and diagnostic odds ratio (DOR) were 0.73 (95% CI: 0.71 to 0.76), 0.95 (95% CI: 0.93 to 0.96) and 56.29 (95% CI: 25.27 to 125.38), respectively, while the summary positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 14.56 (95% CI: 6.62 to 32.02) and 0.26 (95% CI: 0.18 to 0.38), respectively. In addition, the area under the curve (AUC) of the circulating CgA in the diagnosis of NETs was 0.8962.

Conclusions: These data demonstrate that circulating CgA is an efficient biomarker for the diagnosis of NETs with high sensitivity and specificity, which indicates that it may be helpful for the clinical management of NETs. However, further studies are needed to clarify this issue.

No MeSH data available.


Related in: MedlinePlus