Staff View
Lobe based risk analysis of discharges and in-hospital mortality of lung cancer patients

Descriptive

TitleInfo
Title
Lobe based risk analysis of discharges and in-hospital mortality of lung cancer patients
Name (type = personal)
NamePart (type = family)
Vyas
NamePart (type = given)
Riddhi J.
NamePart (type = date)
1979-
DisplayForm
Riddhi J. Vyas
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Haque
NamePart (type = given)
Syde
DisplayForm
Syde Haque
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Health Professions
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2016
DateOther (qualifier = exact); (type = degree)
2016-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2016
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Lung cancer occurrences are more likely as compared to any other type of cancer in the world with very high mortality rate. Based on the past research, smoking and family history of smoking are the most common causes of lung cancer by per age, race and gender. Lung cancer is the second deadliest cancer in this world after prostate cancer and breast cancer. In this research, we have used the Nationwide Inpatient Sample Data from the year 2003 to 2007 to analyze current and predict future trend of lung cancer. Towards the analyses, we have included all the anatomical sub categories of lung to determine, which lobe of lung is having considerably higher risk of catching cancer. Our anatomical analysis concludes the risk occurrence of lung cancer follows an order from high to low: Upper lobe, Lower lobe, Other-parts of the lung, Main bronchus, and Middle lobe. We have also examined the association of each category of lung with race across the gender. The overall lung cancer analysis indicates, White American and Black have the higher risk of getting lung cancer as compared with other races. Further analysis of individual lobe of lung denotes, among the all races, White American is more susceptible to each lobe of lung except other-parts of lung. The odds ratio analysis for individual anatomical site concludes white male and female [odds ratio of all sub category- male/female 1.03 to 1.08] are equally susceptible to each lobe of lung. The black females [odds ratio of Lower lobe-male/female 1.08] are highly associated with lower lobe of lung cancer as compared with black males. Whereas Hispanic, Asian and Native American females are more associated with middle lobe lung cancer as compared with Hispanic, Asian and native American males [odds ratio for middle lobe - male/female 0.89 to 0.95]. Based on the past research, smoking is the primary cause of the death in the lung cancer by age, race and gender. In this research, we have used National Impatient Sample and census population for the state CA, Fl, TX, NY, IL, RI, VA, SC, and WI to determine the association of geographical variation with the risk factors by population. We have confirmed that incidence of lung cancer cases in CA (bigger state by population) is lower than RI and VA (smaller state by population). In other word, we confirmed our hypothesis that higher population, need not have to have higher incidence rate (In this research, incidence rate refers to discharged), but other factors like race, gender, pollution, exposure to chemical factor also play an important role to measure susceptibility of the occurrences. This research study was limited to the National Inpatient database across the United State. Lung cancer patients were extracted base on principle diagnosis of the lung cancer symptoms.
Subject (authority = RUETD)
Topic
Biomedical Informatics
Subject (authority = ETD-LCSH)
Topic
Lungs--Cancer--Patients
Subject (authority = ETD-LCSH)
Topic
Cancer--Risk factors
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
School of Health Professions ETD Collection
Identifier (type = local)
rucore10007400001
Identifier
ETD_7315
Identifier (type = doi)
doi:10.7282/T3DV1N14
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (109 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Riddhi. J. Vyas
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Genre (authority = ExL-Esploro)
ETD doctoral
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Vyas
GivenName
Riddhi
MiddleName
J.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-04-25 10:22:15
AssociatedEntity
Name
Riddhi Vyas
Role
Copyright holder
Affiliation
Rutgers University. School of Health Related Professions
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
CreatingApplication
Version
1.6
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2016-04-27T13:39:42
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2016-04-28T13:44:55
ApplicationName
Microsoft® Word 2013
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024