Kaplan-Meier curves for all-cause mortality according to albumin tertiles.
<p>Kaplan-Meier curves for all-cause mortality according to albumin tertiles.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
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| _version_ | 1852018214167379968 |
|---|---|
| author | Liang Zhou (85586) |
| author2 | Xiaona Cai (15007527) Kunpeng Hu (11556313) Shuo Tang (628941) Dandan Gao (558010) Xiaojuan Zhang (235854) Yin Wu (318049) Li He (134049) Bangfu Zhou (21781957) Ruoyu Wu (6085121) Zhigang Zhang (20860) |
| author2_role | author author author author author author author author author author |
| author_facet | Liang Zhou (85586) Xiaona Cai (15007527) Kunpeng Hu (11556313) Shuo Tang (628941) Dandan Gao (558010) Xiaojuan Zhang (235854) Yin Wu (318049) Li He (134049) Bangfu Zhou (21781957) Ruoyu Wu (6085121) Zhigang Zhang (20860) |
| author_role | author |
| dc.creator.none.fl_str_mv | Liang Zhou (85586) Xiaona Cai (15007527) Kunpeng Hu (11556313) Shuo Tang (628941) Dandan Gao (558010) Xiaojuan Zhang (235854) Yin Wu (318049) Li He (134049) Bangfu Zhou (21781957) Ruoyu Wu (6085121) Zhigang Zhang (20860) |
| dc.date.none.fl_str_mv | 2025-07-24T17:41:26Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0327501.g002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Kaplan-Meier_curves_for_all-cause_mortality_according_to_albumin_tertiles_/29639704 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Cell Biology Biotechnology Immunology Cancer Science Policy Mental Health Infectious Diseases unplanned early readmission retrospective cohort population restricted cubic spline kaplan &# 8210 forward likelihood ratio dose &# 8210 cox regression model post hoc analysis cause mortality rate 91 – 0 89 – 0 sensitivity analysis revealed day mortality risk ed differed according 93 – 1 249 emergency patients median albumin level time hospitalization patients time admitted patients sensitivity analysis day mortality emergency patients median length emergency department patients combined patients admitted 881 patients 368 patients hr 0 ci 0 xlink "> term survival specific correlation significant factor response relationship rcs ). rank test predictive value patient hospitalization including 5 dryad website difference test demographic characteristics clinical indicators categorical variable albumin values albumin levels 86 %, 51 %) 2 days |
| dc.title.none.fl_str_mv | Kaplan-Meier curves for all-cause mortality according to albumin tertiles. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Kaplan-Meier curves for all-cause mortality according to albumin tertiles.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_cdcf8df08c8baee0ed450cd73704f385 |
| identifier_str_mv | 10.1371/journal.pone.0327501.g002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29639704 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Kaplan-Meier curves for all-cause mortality according to albumin tertiles.Liang Zhou (85586)Xiaona Cai (15007527)Kunpeng Hu (11556313)Shuo Tang (628941)Dandan Gao (558010)Xiaojuan Zhang (235854)Yin Wu (318049)Li He (134049)Bangfu Zhou (21781957)Ruoyu Wu (6085121)Zhigang Zhang (20860)MedicineCell BiologyBiotechnologyImmunologyCancerScience PolicyMental HealthInfectious Diseasesunplanned early readmissionretrospective cohort populationrestricted cubic splinekaplan &# 8210forward likelihood ratiodose &# 8210cox regression modelpost hoc analysiscause mortality rate91 – 089 – 0sensitivity analysis revealedday mortality risked differed according93 – 1249 emergency patientsmedian albumin leveltime hospitalization patientstime admitted patientssensitivity analysisday mortalityemergency patientsmedian lengthemergency departmentpatients combinedpatients admitted881 patients368 patientshr 0ci 0xlink ">term survivalspecific correlationsignificant factorresponse relationshiprcs ).rank testpredictive valuepatient hospitalizationincluding 5dryad websitedifference testdemographic characteristicsclinical indicatorscategorical variablealbumin valuesalbumin levels86 %,51 %)2 days<p>Kaplan-Meier curves for all-cause mortality according to albumin tertiles.</p>2025-07-24T17:41:26ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0327501.g002https://figshare.com/articles/figure/Kaplan-Meier_curves_for_all-cause_mortality_according_to_albumin_tertiles_/29639704CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/296397042025-07-24T17:41:26Z |
| spellingShingle | Kaplan-Meier curves for all-cause mortality according to albumin tertiles. Liang Zhou (85586) Medicine Cell Biology Biotechnology Immunology Cancer Science Policy Mental Health Infectious Diseases unplanned early readmission retrospective cohort population restricted cubic spline kaplan &# 8210 forward likelihood ratio dose &# 8210 cox regression model post hoc analysis cause mortality rate 91 – 0 89 – 0 sensitivity analysis revealed day mortality risk ed differed according 93 – 1 249 emergency patients median albumin level time hospitalization patients time admitted patients sensitivity analysis day mortality emergency patients median length emergency department patients combined patients admitted 881 patients 368 patients hr 0 ci 0 xlink "> term survival specific correlation significant factor response relationship rcs ). rank test predictive value patient hospitalization including 5 dryad website difference test demographic characteristics clinical indicators categorical variable albumin values albumin levels 86 %, 51 %) 2 days |
| status_str | publishedVersion |
| title | Kaplan-Meier curves for all-cause mortality according to albumin tertiles. |
| title_full | Kaplan-Meier curves for all-cause mortality according to albumin tertiles. |
| title_fullStr | Kaplan-Meier curves for all-cause mortality according to albumin tertiles. |
| title_full_unstemmed | Kaplan-Meier curves for all-cause mortality according to albumin tertiles. |
| title_short | Kaplan-Meier curves for all-cause mortality according to albumin tertiles. |
| title_sort | Kaplan-Meier curves for all-cause mortality according to albumin tertiles. |
| topic | Medicine Cell Biology Biotechnology Immunology Cancer Science Policy Mental Health Infectious Diseases unplanned early readmission retrospective cohort population restricted cubic spline kaplan &# 8210 forward likelihood ratio dose &# 8210 cox regression model post hoc analysis cause mortality rate 91 – 0 89 – 0 sensitivity analysis revealed day mortality risk ed differed according 93 – 1 249 emergency patients median albumin level time hospitalization patients time admitted patients sensitivity analysis day mortality emergency patients median length emergency department patients combined patients admitted 881 patients 368 patients hr 0 ci 0 xlink "> term survival specific correlation significant factor response relationship rcs ). rank test predictive value patient hospitalization including 5 dryad website difference test demographic characteristics clinical indicators categorical variable albumin values albumin levels 86 %, 51 %) 2 days |