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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Schema
  10. External Links
  11. Analytics And Tracking
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We are analyzing https://link.springer.com/article/10.1245/s10434-011-1814-0.

Title:
Usefulness of the Neutrophil-to-Lymphocyte Ratio in Predicting Short- and Long-Term Mortality in Breast Cancer Patients | Annals of Surgical Oncology
Description:
The neutrophil-to-lymphocyte ratio (NLR) is a strong predictor of mortality in patients with colorectal, gastric, hepatocellular, pancreatic, and lung cancer. To date, the utility of NLR to predict mortality in breast cancer patients has not been studied. Therefore, the aim of our study was to determine whether the NLR is predictive of short- and long-term mortality in breast cancer patients. Our observational study used an unselected cohort of breast cancer patients treated at the Staten Island University Hospital between January 2004 and December 2006. A total of 316 patients had a differential leukocyte count recorded prior to chemotherapy. Survival status was retrieved from our cancer registry and Social Security death index. Survival analysis, stratified by NLR quartiles, was used to evaluate the predictive value of NLR. Patients in the highest NLR quartile (NLR > 3.3) had higher 1-year (16% vs 0%) and 5-year (44% vs 13%) mortality rates compared with those in the lowest quartile (NLR < 1.8) (P < .0001). Those in the highest NLR quartile were statistically significantly older and had more advanced stages of cancer. After adjusting for the factors affecting the mortality and/or NLR (using two multivariate models), NLR level > 3.3 remained an independent significant predictor of mortality in both models (hazard ratio 3.13, P = .01) (hazard ratio 4.09, P = .002). NLR is an independent predictor of short- and long-term mortality in breast cancer patients with NLR > 3.3. We suggest prospective studies to evaluate the NLR as a simple prognostic test for breast cancer.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Health & Fitness
  • Education
  • Science

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Link.springer.com Make Money? {💸}

We don't see any clear sign of profit-making.

While profit motivates many websites, others exist to inspire, entertain, or provide valuable resources. Websites have a variety of goals. And this might be one of them. Link.springer.com could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

cancer, article, google, scholar, pubmed, breast, patients, cas, nlr, ratio, survival, prognostic, mortality, cells, neutrophiltolymphocyte, colorectal, staten, island, usa, blood, cell, privacy, cookies, content, research, independent, access, outcome, metastatic, data, publish, search, oncology, short, longterm, azab, mbbs, predictor, study, treated, university, hospital, chemotherapy, markers, prognosis, surg, ann, oncol, lymphocytes, analysis,

Topics {✒️}

independent significant predictor month download article/chapter independent prognostic factor small-cell lung cancer patient prognosis srujitha murukutla mbbs pretreatment neutrophil count jaya phookan md early-stage colorectal cancer independent predictor prognostic markers independent prognostic indicator basem azab md breast cancer classification tumour infiltrating lymphocytes cancer cell nests breast cancer patients full article pdf gene expression profiles privacy choices/manage cookies human colorectal cancer nina kohn ma leukocyte orchestration social media tumors releasing interleukin-8 prognostic factor related subjects hla-dr expression surgical oncology aims tumor infiltrating lymphocytes simple prognostic test cancer immunol immunother cells predict outcome breast cancer check access instant access epithelial ovarian cancer cancer registry coordinator european economic area statistically significantly older suggest prospective studies keller-peck cr vertical growth phase high cd8+/regulatory appleton-century-crofts elsevier churchill livingstone justyna lubinska-mcnichol article azab cd4+/cd8+ ratio strong predictor

Questions {❓}

  • Inflammation and cancer: back to Virchow?

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Usefulness of the Neutrophil-to-Lymphocyte Ratio in Predicting Short- and Long-Term Mortality in Breast Cancer Patients
         description:The neutrophil-to-lymphocyte ratio (NLR) is a strong predictor of mortality in patients with colorectal, gastric, hepatocellular, pancreatic, and lung cancer. To date, the utility of NLR to predict mortality in breast cancer patients has not been studied. Therefore, the aim of our study was to determine whether the NLR is predictive of short- and long-term mortality in breast cancer patients. Our observational study used an unselected cohort of breast cancer patients treated at the Staten Island University Hospital between January 2004 and December 2006. A total of 316 patients had a differential leukocyte count recorded prior to chemotherapy. Survival status was retrieved from our cancer registry and Social Security death index. Survival analysis, stratified by NLR quartiles, was used to evaluate the predictive value of NLR. Patients in the highest NLR quartile (NLR > 3.3) had higher 1-year (16% vs 0%) and 5-year (44% vs 13%) mortality rates compared with those in the lowest quartile (NLR < 1.8) (P < .0001). Those in the highest NLR quartile were statistically significantly older and had more advanced stages of cancer. After adjusting for the factors affecting the mortality and/or NLR (using two multivariate models), NLR level > 3.3 remained an independent significant predictor of mortality in both models (hazard ratio 3.13, P = .01) (hazard ratio 4.09, P = .002). NLR is an independent predictor of short- and long-term mortality in breast cancer patients with NLR > 3.3. We suggest prospective studies to evaluate the NLR as a simple prognostic test for breast cancer.
         datePublished:2011-06-03T00:00:00Z
         dateModified:2011-06-03T00:00:00Z
         pageStart:217
         pageEnd:224
         sameAs:https://doi.org/10.1245/s10434-011-1814-0
         keywords:
            Breast Cancer Patient
            Independent Significant Predictor
            Differential Leukocyte Count
            Social Security Death Index
            Increase Breast Cancer Cell
            Surgical Oncology
            Oncology
            Surgery
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                        type:PostalAddress
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               name:Warren D. Widmann
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      headline:Usefulness of the Neutrophil-to-Lymphocyte Ratio in Predicting Short- and Long-Term Mortality in Breast Cancer Patients
      description:The neutrophil-to-lymphocyte ratio (NLR) is a strong predictor of mortality in patients with colorectal, gastric, hepatocellular, pancreatic, and lung cancer. To date, the utility of NLR to predict mortality in breast cancer patients has not been studied. Therefore, the aim of our study was to determine whether the NLR is predictive of short- and long-term mortality in breast cancer patients. Our observational study used an unselected cohort of breast cancer patients treated at the Staten Island University Hospital between January 2004 and December 2006. A total of 316 patients had a differential leukocyte count recorded prior to chemotherapy. Survival status was retrieved from our cancer registry and Social Security death index. Survival analysis, stratified by NLR quartiles, was used to evaluate the predictive value of NLR. Patients in the highest NLR quartile (NLR > 3.3) had higher 1-year (16% vs 0%) and 5-year (44% vs 13%) mortality rates compared with those in the lowest quartile (NLR < 1.8) (P < .0001). Those in the highest NLR quartile were statistically significantly older and had more advanced stages of cancer. After adjusting for the factors affecting the mortality and/or NLR (using two multivariate models), NLR level > 3.3 remained an independent significant predictor of mortality in both models (hazard ratio 3.13, P = .01) (hazard ratio 4.09, P = .002). NLR is an independent predictor of short- and long-term mortality in breast cancer patients with NLR > 3.3. We suggest prospective studies to evaluate the NLR as a simple prognostic test for breast cancer.
      datePublished:2011-06-03T00:00:00Z
      dateModified:2011-06-03T00:00:00Z
      pageStart:217
      pageEnd:224
      sameAs:https://doi.org/10.1245/s10434-011-1814-0
      keywords:
         Breast Cancer Patient
         Independent Significant Predictor
         Differential Leukocyte Count
         Social Security Death Index
         Increase Breast Cancer Cell
         Surgical Oncology
         Oncology
         Surgery
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            1534-4681
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         name:Springer-Verlag
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                     type:PostalAddress
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            name:Vijaya R. Bhatt
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                  name:Staten Island University Hospital
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                     name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
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            name:Jaya Phookan
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                  name:Staten Island University Hospital
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                     name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
                     type:PostalAddress
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            name:Srujitha Murukutla
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                  name:Staten Island University Hospital
                  address:
                     name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
                     type:PostalAddress
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            name:Nina Kohn
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                  name:Feinstein Institute for Medical Research
                  address:
                     name:Feinstein Institute for Medical Research, Manhasset, USA
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            name:Terenig Terjanian
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                  name:Staten Island University Hospital
                  address:
                     name:Department of Internal Medicine, Division of Hematology-Oncology, Staten Island University Hospital, Staten Island, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Warren D. Widmann
            affiliation:
                  name:Staten Island University Hospital
                  address:
                     name:Department of Surgery, Staten Island University Hospital, Staten Island, USA
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         name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
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      name:Staten Island University Hospital
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         name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
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      name:Staten Island University Hospital
      address:
         name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
         type:PostalAddress
      name:Feinstein Institute for Medical Research
      address:
         name:Feinstein Institute for Medical Research, Manhasset, USA
         type:PostalAddress
      name:Staten Island University Hospital
      address:
         name:Department of Internal Medicine, Division of Hematology-Oncology, Staten Island University Hospital, Staten Island, USA
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               name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
               type:PostalAddress
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      email:[email protected]
      name:Vijaya R. Bhatt
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            address:
               name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
               type:PostalAddress
            type:Organization
      name:Jaya Phookan
      affiliation:
            name:Staten Island University Hospital
            address:
               name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
               type:PostalAddress
            type:Organization
      name:Srujitha Murukutla
      affiliation:
            name:Staten Island University Hospital
            address:
               name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
               type:PostalAddress
            type:Organization
      name:Nina Kohn
      affiliation:
            name:Feinstein Institute for Medical Research
            address:
               name:Feinstein Institute for Medical Research, Manhasset, USA
               type:PostalAddress
            type:Organization
      name:Terenig Terjanian
      affiliation:
            name:Staten Island University Hospital
            address:
               name:Department of Internal Medicine, Division of Hematology-Oncology, Staten Island University Hospital, Staten Island, USA
               type:PostalAddress
            type:Organization
      name:Warren D. Widmann
      affiliation:
            name:Staten Island University Hospital
            address:
               name:Department of Surgery, Staten Island University Hospital, Staten Island, USA
               type:PostalAddress
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      name:Department of Internal Medicine, Staten Island University Hospital, Staten Island, USA
      name:Feinstein Institute for Medical Research, Manhasset, USA
      name:Department of Internal Medicine, Division of Hematology-Oncology, Staten Island University Hospital, Staten Island, USA
      name:Department of Surgery, Staten Island University Hospital, Staten Island, USA
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External Links {🔗}(115)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js
  • Prism.js

CDN Services {📦}

  • Crossref

3.42s.