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| 1 | Staging accuracy of esophageal cancer by endoscopic ultrasound:A meta-analysis and systematic review显示文摘AIM: To evaluate the accuracy of endoscopic ultrasound (EUS) in the staging of esophageal cancer. METHODS: Only EUS studies confirmed by surgery were selected. Articles were searched in Medline and Pubmed. Two reviewers independently searched and extracted data. Meta-analysis of the accuracy of EUS was analyzed by calculating pooled estimates of sensitivity, specificity, likelihood ratios, and diagnostic odds ratio. Pooling was conducted by both the Mantel-Haenszel method (fixed effects model) and DerSimonian Laird method (random effects model). The heterogeneity of studies was tested using Cochran’s Q test based upon inverse variance weights. RESULTS: Forty-nine studies (n = 2558) which met the inclusion criteria were included in this analysis. Pooled sensitivity and specificity of EUS to diagnose T1 was 81.6% (95% CI: 77.8-84.9) and 99.4% (95% CI: 99.0-99.7), respectively. To diagnose T4, EUS had a pooled sensitivity of 92.4% (95% CI: 89.2-95.0) and specificity of 97.4% (95% CI: 96.6-98.0). With Fine Needle Aspiration (FNA), sensitivity of EUS to diagnose N stage improved from 84.7% (95% CI: 82.9-86.4) to 96.7% (95% CI: 92.4-98.9). The P value for the χ2 test of heterogeneity for all pooled estimates was > 0.10. CONCLUSION: EUS has excellent sensitivity and specificity in accurately diagnosing the TN stage of esophageal cancer. EUS performs better with advanced (T4) than early (T1) disease. FNA substantially improves the sensitivity and specificity of EUS in evaluating N stage disease. EUS should be strongly considered for staging esophageal cancer. | Srinivas R Puli Jyotsna BK Reddy Matthew L Bechtold Daphne Antillon Jamal A Ibdah Mainor R Antillon | 2008 | World Journal of Gastroenterology2008，14，10： | 55 |
| 2 | How good is endoscopic ultrasound for TNM staging of gastric cancers? A meta-analysis and systematic review显示文摘AIM: To evaluate the accuracy of endoscopic ultrasound (EUS) for staging of gastric cancers. METHODS: Only EUS studies confirmed by surgery were selected. Only studies from which a 2 × 2 table could be constructed for true positive, false negative, false positive and true negative values were included. Articles were searched in Medline, Pubmed, Ovid journals, Cumulative index for nursing & allied health literature, International pharmaceutical abstracts, old Medline, Medline nonindexed citations, and Cochrane control trial registry. Two reviewers independently searched and extracted data. The differences were resolved by mutual agreement. 2 × 2 tables were constructed with the data extracted from each study. Meta-analysis for the accuracy of EUS was analyzed by calculating pooled estimates of sensitivity, specifi city, likelihood ratios, and diagnostic odds ratio. Pooling was conducted by both the Mantel-Haenszel method (fi xed effects model) and DerSimonian Laird method (random effects model). The heterogeneity of studies was tested using Cochran's Q test based upon inverse variance weights. RESULTS: Initial search identified 1620 reference articles and of these, 376 relevant articles were selected and reviewed. Twenty-two studies (n = 1896) which met the inclusion criteria were included in this analysis. Pooled sensitivity of T1 was 88.1% (95% CI: 84.5-91.1) and T2 was 82.3% (95% CI: 78.2-86.0). For T3, pooled sensitivity was 89.7% (95% CI: 87.1-92.0). T4 hada pooled sensitivity of 99.2% (95% CI: 97.1-99.9). For nodal staging, the pooled sensitivity for N1 was 58.2% (95% CI: 53.5-62.8) and N2 was 64.9% (95% CI: 60.8-68.8). Pooled sensitivity to diagnose distant metastasis was 73.2% (95% CI: 63.2-81.7). The P for chi-squared heterogeneity for all the pooled accuracy estimates was > 0.10. CONCLUSION: EUS results are more accurate with advanced disease than early disease. If EUS diagnoses advanced disease, such as T4 disease, the patient is 500 times more likely to have true anatomic stage of T4 disease. | Srinivas Reddy Puli Jyotsna Batapati Krishna Reddy Matthew L Bechtold Mainor R Antillon Jamal A Ibdah | 2008 | World Journal of Gastroenterology2008，14，25： | 33 |
| 3 | Endoscopic ultrasound:It’s accuracy in evaluating mediastinal lymphadenopathy? A meta-analysis and systematic review显示文摘AIM:To evaluate the accuracy of endoscopic ultrasound (EUS), EUS-fine needle aspiration (FNA) in evaluating mediastinal lymphadenopathy. METHODS:Only EUS and EUS-FNA studies confirmed by surgery or with appropriate follow-up were selected. Articles were searched in Medline, Pubmed, and Cochrane control trial registry. Only studies from which a 2 × 2 table could be constructed for true positive, false negative, false positive and true negative values were included. Two reviewers independently searched and extracted data. The differences were resolved by mutual agreement. Meta-analysis for the accuracy of EUS was analyzed by calculating pooled estimates of sensitivity, specificity, likelihood ratios, and diagnostic odds ratios. Pooling was conducted by both Mantel-Haenszel method (fixed effects model) and DerSimonian Laird method (random effects model). The heterogeneity of studies was tested using Cochran’s Q test based upon inverse variance weights. RESULTS:Data was extracted from 76 studies (n = 9310) which met the inclusion criteria. Of these, 44 studies used EUS alone and 32 studies used EUS-FNA. FNA improved the sensitivity of EUS from 84.7% (95% CI:82.9-86.4) to 88.0% (95% CI:85.8-90.0). With FNA, the specificity of EUS improved from 84.6% (95% CI:83.2-85.9) to 96.4% (95% CI:95.3-97.4). The P forchi-squared heterogeneity for all the pooled accuracy estimates was > 0.10. CONCLUSION:EUS is highly sensitive and specific for the evaluation of mediastinal lymphadenopathy and FNA substantially improves this. EUS with FNA should be the diagnostic test of choice for evaluating mediastinal lymphadenopathy. | Srinivas R Puli Jyotsna Batapati Krishna Reddy Matthew L Bechtold Jamal A Ibdah Daphne Antillon Shailender Singh Mojtaba Olyaee Mainor R Antillon | 2008 | World Journal of Gastroenterology2008，14，19： | 10 |
| 4 | Spatial Variability of Soil Properties and Weed Population in the Mississippi Delta 显示文摘 | Gaston L A Locke M A Zablotowicz R M Reddy K N | 1999 | Soil Science Bulletin1999，44，8： | 2 |
| 5 | Functional analysis ofthe domain structure of tumor necrosis factor-alpha converting enzyme显示文摘 | Reddy P Slack J L Davis R | | 0，，： | 2 |
| 6 | Reflectance indices with precision and accuracy in predicting cotton leaf nitrogen concentration显示文摘 | Tarpley L Reddy K R Gretchen FSC | 2000 | Crop Science2000，40，： | 1 |
| 7 | Face recognition based on Eigen features of multi scaled face components and an artificial neural network显示文摘 | Reddy K R L Babu G R Kishore L | 2010 | Procedia computer science2010，2，3： | 1 |
| 8 | EPR and electron absorption spectra of copper bearing turquoise mineral 显示文摘 | Sharma K B N Moorthy L R Reddy B J | 1988 | Phys Lett A1988，132，： | 1 |
| 9 | Recovery of copper from cop- per blast furnace slag 显示文摘 | Reddy R G Prabhu V L Mantha D | 2006 | Minerals & Metallurgical Processing2006，23，2： | 1 |
| 10 | Weed management innonirrigated glyphosate-resistant and non-resistant soybean follow-ing deep and shallow fall tillage显示文摘 | Heatherly L G Spurlock S R Reddy K N | 2004 | Agronomy Journal2004，96，3： | 1 |
| 11 | In situ determination of detrital breakdown in wetland soil floodwater profile显示文摘 | Schipper L A Reddy K R | 1995 | Soil Sci Soe Am J1995，59，： | 1 |
| 12 | Nanostructured Nb2O5 polymorphs by electrospinning for rechargeable lithium batterries显示文摘 | VIET A L REDDY M V JOSE R | 2010 | The Journal of Physical Chemistry C2010，114，1： | 1 |
| 13 | Synthesis of titanium carbide nanopowders by thermal plasma显示文摘 | Tong L Reddy R G | 2005 | Scripta Materialia2005，52，12： | 1 |
| 14 | Phcsphorus dynamics in selected wetlands and streams of the lake Okeechobee Basin显示文摘 | REDDY K R DIAZ O A SCINTO L J | | 0，，2： | 1 |
| 15 | Electron Field Emitters Based on Muhiwalled Carbon Nanotubes Decorated with Nanoscale Metal Clusters显示文摘 | Rakhi R B Reddy A L M Shaijumon M M | 2008 | Journal of Nanoparticle Research2008，10，1： | 1 |
| 16 | Selection of optimum reflectance ratios for estimating leaf nitrogen and chlorophyll coneentrations of field-grown cotton显示文摘 | Zhao D L Reddy K R Kakani V G | 2005 | Agronomy Journal2005，97，： | 1 |
| 17 | Statistical Estimation of Daily Maximum and Minimum Air Temperatures from MODIS LST Data over the State of Mississippi显示文摘 | Mostovoy G V King R L Reddy K | 2006 | GIScience & Remote Sensing2006，43，1： | 1 |
| 18 | Effect of temperature on seed dormancy of wheat 显示文摘 | Reddy L V Metzger R J Ching T M | 1985 | Crop Sci1985，25，3： | 1 |
| 19 | Development of a quantitative-competitive polymerase chain reaction assay for serotype 1 Marek's disease virus显示文摘 | Reddy S M Witter R L Gimeno I | 2000 | Avi Dis2000，44，4： | 1 |
| 20 | Weed management in nonirrigated glyphosate-resistant and non- resistant soybean following deep and shallow fall tillage 显示文摘 | HEATHERLY L G SPURLOCK S R REDDY K N | 2004 | Agronomy Journal2004，96，： | 1 |
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