Banking or Bankrupting: Strategies for Sustaining the Economic Future of Public Cord Blood Banks
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Mendeley | Further Information

{"title"=>"Banking or Bankrupting: Strategies for Sustaining the Economic Future of Public Cord Blood Banks", "type"=>"journal", "authors"=>[{"first_name"=>"Jeremy", "last_name"=>"Magalon", "scopus_author_id"=>"55819382600"}, {"first_name"=>"Martin", "last_name"=>"Maiers", "scopus_author_id"=>"6602070144"}, {"first_name"=>"Joanne", "last_name"=>"Kurtzberg", "scopus_author_id"=>"56999193000"}, {"first_name"=>"Cristina", "last_name"=>"Navarrete", "scopus_author_id"=>"7006391032"}, {"first_name"=>"Pablo", "last_name"=>"Rubinstein", "scopus_author_id"=>"7006583530"}, {"first_name"=>"Colin", "last_name"=>"Brown", "scopus_author_id"=>"55478075200"}, {"first_name"=>"Catherine", "last_name"=>"Schramm", "scopus_author_id"=>"56206510200"}, {"first_name"=>"JéRome", "last_name"=>"Larghero", "scopus_author_id"=>"6602898694"}, {"first_name"=>"Sandrine", "last_name"=>"Katsahian", "scopus_author_id"=>"6508093429"}, {"first_name"=>"Christian", "last_name"=>"Chabannon", "scopus_author_id"=>"7006751633"}, {"first_name"=>"Christophe", "last_name"=>"Picard", "scopus_author_id"=>"7101616829"}, {"first_name"=>"Alexander", "last_name"=>"Platz", "scopus_author_id"=>"8890166100"}, {"first_name"=>"Alexander", "last_name"=>"Schmidt", "scopus_author_id"=>"22952038000"}, {"first_name"=>"Gregory", "last_name"=>"Katz", "scopus_author_id"=>"55160084500"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "pui"=>"607916244", "doi"=>"10.1371/journal.pone.0143440", "sgr"=>"84955570525", "scopus"=>"2-s2.0-84955570525", "pmid"=>"26624279"}, "id"=>"fc0f861f-fe1d-3d9b-8b06-087c20998f52", "abstract"=>"BACKGROUND: Cord blood is an important source of stem cells. However, nearly 90% of public cord blood banks have declared that they are struggling to maintain their financial sustainability and avoid bankruptcy. The objective of this study is to evaluate how characteristics of cord blood units influence their utilization, then use this information to model the economic viability and therapeutic value of different banking strategies.\\n\\nMETHODS: Retrospective analysis of cord blood data registered between January 1st, 2009 and December 31st, 2011 in Bone Marrow Donor Worldwide. Data were collected from four public banks in France, Germany and the USA. Samples were eligible for inclusion in the analysis if data on cord blood and maternal HLA typing and biological characteristics after processing were available (total nucleated and CD34+ cell counts). 9,396 banked cord blood units were analyzed, of which 5,815 were Caucasian in origin. A multivariate logistic regression model assessed the influence of three parameters on the CBU utilization rate: ethnic background, total nucleated and CD34+ cell counts. From this model, we elaborated a Utilization Score reflecting the probability of transplantation for each cord blood unit. We stratified three Utilization Score thresholds representing four different banking strategies, from the least selective (scenario A) to the most selective (scenario D). We measured the cost-effectiveness ratio for each strategy by comparing performance in terms of number of transplanted cord blood units and level of financial deficit.\\n\\nRESULTS: When comparing inputs and outputs over three years, Scenario A represented the most extreme case as it delivered the highest therapeutic value for patients (284 CBUs transplanted) along with the highest financial deficit (USD 5.89 million). We found that scenario C resulted in 219 CBUs transplanted with a limited deficit (USD 0.98 million) that charities and public health could realistically finance over the long term. We also found that using a pre-freezing level of 18 x 108 TNC would be the most cost-effective strategy for a public bank.\\n\\nCONCLUSION: Our study shows that a swift transition from strategy A to C can play a vital role in preventing public cord blood banks worldwide from collapsing.", "link"=>"http://www.mendeley.com/research/banking-bankrupting-strategies-sustaining-economic-future-public-cord-blood-banks", "reader_count"=>32, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Researcher"=>8, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>2, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Researcher"=>8, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>2, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>7, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>7, "Medicine and Dentistry"=>10, "Business, Management and Accounting"=>5, "Immunology and Microbiology"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>10}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>5}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>7}}, "reader_count_by_country"=>{"Iran"=>1, "United States"=>1, "Spain"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2595506"], "description"=>"<p>Multivariate analysis to assess the comparative influence of ethnic background, TNC and CD34+ counts on the UR.</p>", "links"=>[], "tags"=>["USD 5.89", "cord blood units", "Economic Future", "cord blood", "banking strategies", "regression model", "CBU utilization rate", "scenario D", "cord blood unit", "usa", "strategy", "bank.ConclusionOur study", "18 x 108 TNC", "cord blood data", "January 1 st", "Bone Marrow Donor Worldwide", "cord blood units influence", "scenario C", "USD 0.98", "cord blood banks", "banking strategies.MethodsRetrospective analysis", "219 CBUs", "Public Cord Blood Banks BackgroundCord blood", "HLA typing", "December 31 st"], "article_id"=>1615072, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jeremy Magalon", "Martin Maiers", "Joanne Kurtzberg", "Cristina Navarrete", "Pablo Rubinstein", "Colin Brown", "Catherine Schramm", "Jérôme Larghero", "Sandrine Katsahian", "Christian Chabannon", "Christophe Picard", "Alexander Platz", "Alexander Schmidt", "Gregory Katz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143440.t003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multivariate_analysis_to_assess_the_comparative_influence_of_ethnic_background_TNC_and_CD34_counts_on_the_UR_/1615072", "title"=>"Multivariate analysis to assess the comparative influence of ethnic background, TNC and CD34+ counts on the UR.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-12-01 14:46:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/2595507", "https://ndownloader.figshare.com/files/2595508"], "description"=>"<div><p>Background</p><p>Cord blood is an important source of stem cells. However, nearly 90% of public cord blood banks have declared that they are struggling to maintain their financial sustainability and avoid bankruptcy. The objective of this study is to evaluate how characteristics of cord blood units influence their utilization, then use this information to model the economic viability and therapeutic value of different banking strategies.</p><p>Methods</p><p>Retrospective analysis of cord blood data registered between January 1st, 2009 and December 31st, 2011 in Bone Marrow Donor Worldwide. Data were collected from four public banks in France, Germany and the USA. Samples were eligible for inclusion in the analysis if data on cord blood and maternal HLA typing and biological characteristics after processing were available (total nucleated and CD34+ cell counts). 9,396 banked cord blood units were analyzed, of which 5,815 were Caucasian in origin. A multivariate logistic regression model assessed the influence of three parameters on the CBU utilization rate: ethnic background, total nucleated and CD34+ cell counts. From this model, we elaborated a Utilization Score reflecting the probability of transplantation for each cord blood unit. We stratified three Utilization Score thresholds representing four different banking strategies, from the least selective (scenario A) to the most selective (scenario D). We measured the cost-effectiveness ratio for each strategy by comparing performance in terms of number of transplanted cord blood units and level of financial deficit.</p><p>Results</p><p>When comparing inputs and outputs over three years, Scenario A represented the most extreme case as it delivered the highest therapeutic value for patients (284 CBUs transplanted) along with the highest financial deficit (USD 5.89 million). We found that scenario C resulted in 219 CBUs transplanted with a limited deficit (USD 0.98 million) that charities and public health could realistically finance over the long term. We also found that using a pre-freezing level of 18 x 10<sup>8</sup> TNC would be the most cost-effective strategy for a public bank.</p><p>Conclusion</p><p>Our study shows that a swift transition from strategy A to C can play a vital role in preventing public cord blood banks worldwide from collapsing.</p></div>", "links"=>[], "tags"=>["USD 5.89", "cord blood units", "Economic Future", "cord blood", "banking strategies", "regression model", "CBU utilization rate", "scenario D", "cord blood unit", "usa", "strategy", "bank.ConclusionOur study", "18 x 108 TNC", "cord blood data", "January 1 st", "Bone Marrow Donor Worldwide", "cord blood units influence", "scenario C", "USD 0.98", "cord blood banks", "banking strategies.MethodsRetrospective analysis", "219 CBUs", "Public Cord Blood Banks BackgroundCord blood", "HLA typing", "December 31 st"], "article_id"=>1615073, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jeremy Magalon", "Martin Maiers", "Joanne Kurtzberg", "Cristina Navarrete", "Pablo Rubinstein", "Colin Brown", "Catherine Schramm", "Jérôme Larghero", "Sandrine Katsahian", "Christian Chabannon", "Christophe Picard", "Alexander Platz", "Alexander Schmidt", "Gregory Katz"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143440.s001", "https://dx.doi.org/10.1371/journal.pone.0143440.s002"], "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Banking_or_Bankrupting_Strategies_for_Sustaining_the_Economic_Future_of_Public_Cord_Blood_Banks_/1615073", "title"=>"Banking or Bankrupting: Strategies for Sustaining the Economic Future of Public Cord Blood Banks", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-01 14:46:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/2595499"], "description"=>"<p>ROC curve derived from multivariate analysis.</p>", "links"=>[], "tags"=>["USD 5.89", "cord blood units", "Economic Future", "cord blood", "banking strategies", "regression model", "CBU utilization rate", "scenario D", "cord blood unit", "usa", "strategy", "bank.ConclusionOur study", "18 x 108 TNC", "cord blood data", "January 1 st", "Bone Marrow Donor Worldwide", "cord blood units influence", "scenario C", "USD 0.98", "cord blood banks", "banking strategies.MethodsRetrospective analysis", "219 CBUs", "Public Cord Blood Banks BackgroundCord blood", "HLA typing", "December 31 st"], "article_id"=>1615065, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jeremy Magalon", "Martin Maiers", "Joanne Kurtzberg", "Cristina Navarrete", "Pablo Rubinstein", "Colin Brown", "Catherine Schramm", "Jérôme Larghero", "Sandrine Katsahian", "Christian Chabannon", "Christophe Picard", "Alexander Platz", "Alexander Schmidt", "Gregory Katz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143440.g001", "stats"=>{"downloads"=>2, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_ROC_curve_derived_from_multivariate_analysis_/1615065", "title"=>"ROC curve derived from multivariate analysis.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-12-01 14:46:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/2595501"], "description"=>"<p>Banking strategies according to utilization rate and utilization score (US).</p>", "links"=>[], "tags"=>["USD 5.89", "cord blood units", "Economic Future", "cord blood", "banking strategies", "regression model", "CBU utilization rate", "scenario D", "cord blood unit", "usa", "strategy", "bank.ConclusionOur study", "18 x 108 TNC", "cord blood data", "January 1 st", "Bone Marrow Donor Worldwide", "cord blood units influence", "scenario C", "USD 0.98", "cord blood banks", "banking strategies.MethodsRetrospective analysis", "219 CBUs", "Public Cord Blood Banks BackgroundCord blood", "HLA typing", "December 31 st"], "article_id"=>1615067, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jeremy Magalon", "Martin Maiers", "Joanne Kurtzberg", "Cristina Navarrete", "Pablo Rubinstein", "Colin Brown", "Catherine Schramm", "Jérôme Larghero", "Sandrine Katsahian", "Christian Chabannon", "Christophe Picard", "Alexander Platz", "Alexander Schmidt", "Gregory Katz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143440.g002", "stats"=>{"downloads"=>1, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Banking_strategies_according_to_utilization_rate_and_utilization_score_US_/1615067", "title"=>"Banking strategies according to utilization rate and utilization score (US).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-12-01 14:46:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/2595503"], "description"=>"<p>Four recruitment strategies were considered: (A) Banks implement an average selectivity rate of 33%, which reflects the percentage of banked units vs. collected units. The level is increased by applying the Utilization Score up to a total selectivity of 20% (B), then 6% (C) and 2% (D). For each scenario, therapeutic value (left scale) is indicated by the number of transplanted CBUs and confronted to the economic value in USD (right scale). The table presents the operating results for each scenario.</p>", "links"=>[], "tags"=>["USD 5.89", "cord blood units", "Economic Future", "cord blood", "banking strategies", "regression model", "CBU utilization rate", "scenario D", "cord blood unit", "usa", "strategy", "bank.ConclusionOur study", "18 x 108 TNC", "cord blood data", "January 1 st", "Bone Marrow Donor Worldwide", "cord blood units influence", "scenario C", "USD 0.98", "cord blood banks", "banking strategies.MethodsRetrospective analysis", "219 CBUs", "Public Cord Blood Banks BackgroundCord blood", "HLA typing", "December 31 st"], "article_id"=>1615069, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jeremy Magalon", "Martin Maiers", "Joanne Kurtzberg", "Cristina Navarrete", "Pablo Rubinstein", "Colin Brown", "Catherine Schramm", "Jérôme Larghero", "Sandrine Katsahian", "Christian Chabannon", "Christophe Picard", "Alexander Platz", "Alexander Schmidt", "Gregory Katz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143440.g003", "stats"=>{"downloads"=>2, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Therapeutic_and_economic_value_based_on_banking_strategies_/1615069", "title"=>"Therapeutic and economic value based on banking strategies.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-12-01 14:46:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/2595504"], "description"=>"<p>CBU inclusion criteria.</p>", "links"=>[], "tags"=>["USD 5.89", "cord blood units", "Economic Future", "cord blood", "banking strategies", "regression model", "CBU utilization rate", "scenario D", "cord blood unit", "usa", "strategy", "bank.ConclusionOur study", "18 x 108 TNC", "cord blood data", "January 1 st", "Bone Marrow Donor Worldwide", "cord blood units influence", "scenario C", "USD 0.98", "cord blood banks", "banking strategies.MethodsRetrospective analysis", "219 CBUs", "Public Cord Blood Banks BackgroundCord blood", "HLA typing", "December 31 st"], "article_id"=>1615070, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jeremy Magalon", "Martin Maiers", "Joanne Kurtzberg", "Cristina Navarrete", "Pablo Rubinstein", "Colin Brown", "Catherine Schramm", "Jérôme Larghero", "Sandrine Katsahian", "Christian Chabannon", "Christophe Picard", "Alexander Platz", "Alexander Schmidt", "Gregory Katz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143440.t001", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_CBU_inclusion_criteria_/1615070", "title"=>"CBU inclusion criteria.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-12-01 14:46:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/2595505"], "description"=>"<p>Biological differences between the “Caucasian” and “Non-Caucasian” groups.</p>", "links"=>[], "tags"=>["USD 5.89", "cord blood units", "Economic Future", "cord blood", "banking strategies", "regression model", "CBU utilization rate", "scenario D", "cord blood unit", "usa", "strategy", "bank.ConclusionOur study", "18 x 108 TNC", "cord blood data", "January 1 st", "Bone Marrow Donor Worldwide", "cord blood units influence", "scenario C", "USD 0.98", "cord blood banks", "banking strategies.MethodsRetrospective analysis", "219 CBUs", "Public Cord Blood Banks BackgroundCord blood", "HLA typing", "December 31 st"], "article_id"=>1615071, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Jeremy Magalon", "Martin Maiers", "Joanne Kurtzberg", "Cristina Navarrete", "Pablo Rubinstein", "Colin Brown", "Catherine Schramm", "Jérôme Larghero", "Sandrine Katsahian", "Christian Chabannon", "Christophe Picard", "Alexander Platz", "Alexander Schmidt", "Gregory Katz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143440.t002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Biological_differences_between_the_8220_Caucasian_8221_and_8220_Non_Caucasian_8221_groups_/1615071", "title"=>"Biological differences between the “Caucasian” and “Non-Caucasian” groups.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-12-01 14:46:55"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"12", "full-text"=>"11", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"18", "full-text"=>"25", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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