Loading…

Prognostic factors for overall survival in patients with clear cell metastatic renal cell carcinoma: Model development and external validation with Memorial Sloan Kettering Cancer Center model and the international metastatic renal cell carcinoma database consortium model

To develop a new prognostic model for the overall survival of patients with clear cell metastatic renal cell carcinoma (mRCC) using Korean Renal Cancer Study Group (KRoCS) database and compared it with 2 renowned prognostic models: the Memorial Sloan Kettering Cancer Center (MSKCC) and the internati...

Full description

Saved in:
Bibliographic Details
Published in:Medicine (Baltimore) 2021-08, Vol.100 (31), p.e26826-e26826
Main Authors: Shin, Dongrul, Jeong, Chang Wook, Song, Cheryn, Kang, Minyong, Seo, Seong Il, Kim, Jung Kwon, Lee, Hakmin, Chung, Jinsoo, Hong, Sung-Hoo, Hwang, Eu Chang, Kwak, Cheol, Park, Jae Young
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c3559-eb1e5fd7477bd356ebdce83b6c385527f3bdf1b7874d377551bc4130b81b465f3
container_end_page e26826
container_issue 31
container_start_page e26826
container_title Medicine (Baltimore)
container_volume 100
creator Shin, Dongrul
Jeong, Chang Wook
Song, Cheryn
Kang, Minyong
Seo, Seong Il
Kim, Jung Kwon
Lee, Hakmin
Chung, Jinsoo
Hong, Sung-Hoo
Hwang, Eu Chang
Kwak, Cheol
Park, Jae Young
description To develop a new prognostic model for the overall survival of patients with clear cell metastatic renal cell carcinoma (mRCC) using Korean Renal Cancer Study Group (KRoCS) database and compared it with 2 renowned prognostic models: the Memorial Sloan Kettering Cancer Center (MSKCC) and the international metastatic renal cell carcinoma database consortium (IMDC) models.Data of 790 patients diagnosed with mRCC and receiving targeted therapy as their first-line treatment were pooled to this study. Data from 4 hospitals (n = 619) were used to develop the new model and those from other 5 hospitals (n = 171) were used for external validation. After detecting prognostic factors in multivariable Cox proportional-hazards regression analysis, patients were classified into 3 risk groups, favorable (0), intermediate (1-2), and poor (3 and more) by the number of prognostic factors.Seven variables such as more than 2 metastasis sites, no prior nephrectomy, Eastern Cooperative Oncology Group performance status ≥2, low hemoglobin, high serum corrected calcium, high neutrophil, high serum alkaline phosphatase were identified as prognostic factors for poor overall survival. Also, risk groups were categorized into 3 groups; median overall survival was 61.1 months in favorable, 26.5 months in intermediate, and 6.8 months in poor group. KRoCS ranked the first in all 3 statistical parameters including akaike information criterion (AIC), concordance index and generalized R2 among other prognostic models.We developed the KRoCS model and validated it externally with demonstrating its superiority over MSKCC and IMDC models. The KRoCS model can provide useful information for counseling patients with clear cell mRCC regarding life-expectancy.
doi_str_mv 10.1097/MD.0000000000026826
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8341338</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2561924561</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3559-eb1e5fd7477bd356ebdce83b6c385527f3bdf1b7874d377551bc4130b81b465f3</originalsourceid><addsrcrecordid>eNqFkk1v1DAQhgMC0aUgcUdCPnJJseM4TjhUQlsKiK5AAs6W7Ux2DY692M4u_Ps6u6V8XPDBlmbe95nxaIriKcFnBHf8xeriDP8-VdNWzd1iQRhtStY19b1ikaOs5B2vT4qHMX7FmFBe1Q-KE1rTjrd1s7jz5GPwa-djMhoNUicfIhp8QH4HQVqL4hR2ZictMg5tZTLgUkR7kzZIW5ABaciiEZKMSc6MAC6LD1EtgzbOj_IlWvkeLOphB9Zvx8xA0vUIfiQIszzzTZ_t3h3RKxh9MDnxyXrp0HtIWWjcGi2l0xDQMhPyMx6oMyltIDd4oM0U-d-WUC4nlYyAtHfRh2Sm8ch7VNwfpI3w-OY9Lb5cvv68fFtefXjzbvnqqtSUsa4ERYANPa85Vz1lDaheQ0tVo2nLWMUHqvqBKN7yuqecM0aUrgnFqiWqbthAT4vzI3c7qRGy2aU8cLENZpThp_DSiL8zzmzE2u9ESzOHthnw_AYQ_PcJYhKjifMvpQM_RVGxhnRVne8spUepDj7GAMNtGYLFvEtidSH-3aXsevZnh7eeX8uTBfVRsPc2zz5-s9MegtiAtGlz4DHeVWWFK4Jb3OByjnT0GjZK3Y8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2561924561</pqid></control><display><type>article</type><title>Prognostic factors for overall survival in patients with clear cell metastatic renal cell carcinoma: Model development and external validation with Memorial Sloan Kettering Cancer Center model and the international metastatic renal cell carcinoma database consortium model</title><source>HEAL-Link subscriptions: Lippincott Williams &amp; Wilkins</source><source>IngentaConnect Journals</source><source>PubMed Central</source><creator>Shin, Dongrul ; Jeong, Chang Wook ; Song, Cheryn ; Kang, Minyong ; Seo, Seong Il ; Kim, Jung Kwon ; Lee, Hakmin ; Chung, Jinsoo ; Hong, Sung-Hoo ; Hwang, Eu Chang ; Kwak, Cheol ; Park, Jae Young</creator><creatorcontrib>Shin, Dongrul ; Jeong, Chang Wook ; Song, Cheryn ; Kang, Minyong ; Seo, Seong Il ; Kim, Jung Kwon ; Lee, Hakmin ; Chung, Jinsoo ; Hong, Sung-Hoo ; Hwang, Eu Chang ; Kwak, Cheol ; Park, Jae Young</creatorcontrib><description>To develop a new prognostic model for the overall survival of patients with clear cell metastatic renal cell carcinoma (mRCC) using Korean Renal Cancer Study Group (KRoCS) database and compared it with 2 renowned prognostic models: the Memorial Sloan Kettering Cancer Center (MSKCC) and the international metastatic renal cell carcinoma database consortium (IMDC) models.Data of 790 patients diagnosed with mRCC and receiving targeted therapy as their first-line treatment were pooled to this study. Data from 4 hospitals (n = 619) were used to develop the new model and those from other 5 hospitals (n = 171) were used for external validation. After detecting prognostic factors in multivariable Cox proportional-hazards regression analysis, patients were classified into 3 risk groups, favorable (0), intermediate (1-2), and poor (3 and more) by the number of prognostic factors.Seven variables such as more than 2 metastasis sites, no prior nephrectomy, Eastern Cooperative Oncology Group performance status ≥2, low hemoglobin, high serum corrected calcium, high neutrophil, high serum alkaline phosphatase were identified as prognostic factors for poor overall survival. Also, risk groups were categorized into 3 groups; median overall survival was 61.1 months in favorable, 26.5 months in intermediate, and 6.8 months in poor group. KRoCS ranked the first in all 3 statistical parameters including akaike information criterion (AIC), concordance index and generalized R2 among other prognostic models.We developed the KRoCS model and validated it externally with demonstrating its superiority over MSKCC and IMDC models. The KRoCS model can provide useful information for counseling patients with clear cell mRCC regarding life-expectancy.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000026826</identifier><identifier>PMID: 34397846</identifier><language>eng</language><publisher>United States: Lippincott Williams &amp; Wilkins</publisher><subject>Carcinoma, Renal Cell - diagnosis ; Carcinoma, Renal Cell - mortality ; Carcinoma, Renal Cell - pathology ; Carcinoma, Renal Cell - therapy ; Female ; Humans ; Life Expectancy ; Male ; Middle Aged ; Models, Statistical ; Molecular Targeted Therapy - methods ; Neoplasm Staging ; Observational Study ; Patient Care Planning - standards ; Prognosis ; Quality Improvement ; Reproducibility of Results ; Republic of Korea - epidemiology ; Risk Assessment - methods ; Risk Assessment - standards ; Risk Factors ; Survival Analysis</subject><ispartof>Medicine (Baltimore), 2021-08, Vol.100 (31), p.e26826-e26826</ispartof><rights>Lippincott Williams &amp; Wilkins</rights><rights>Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.</rights><rights>Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3559-eb1e5fd7477bd356ebdce83b6c385527f3bdf1b7874d377551bc4130b81b465f3</cites><orcidid>0000-0002-6664-6846</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341338/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341338/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34397846$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shin, Dongrul</creatorcontrib><creatorcontrib>Jeong, Chang Wook</creatorcontrib><creatorcontrib>Song, Cheryn</creatorcontrib><creatorcontrib>Kang, Minyong</creatorcontrib><creatorcontrib>Seo, Seong Il</creatorcontrib><creatorcontrib>Kim, Jung Kwon</creatorcontrib><creatorcontrib>Lee, Hakmin</creatorcontrib><creatorcontrib>Chung, Jinsoo</creatorcontrib><creatorcontrib>Hong, Sung-Hoo</creatorcontrib><creatorcontrib>Hwang, Eu Chang</creatorcontrib><creatorcontrib>Kwak, Cheol</creatorcontrib><creatorcontrib>Park, Jae Young</creatorcontrib><title>Prognostic factors for overall survival in patients with clear cell metastatic renal cell carcinoma: Model development and external validation with Memorial Sloan Kettering Cancer Center model and the international metastatic renal cell carcinoma database consortium model</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>To develop a new prognostic model for the overall survival of patients with clear cell metastatic renal cell carcinoma (mRCC) using Korean Renal Cancer Study Group (KRoCS) database and compared it with 2 renowned prognostic models: the Memorial Sloan Kettering Cancer Center (MSKCC) and the international metastatic renal cell carcinoma database consortium (IMDC) models.Data of 790 patients diagnosed with mRCC and receiving targeted therapy as their first-line treatment were pooled to this study. Data from 4 hospitals (n = 619) were used to develop the new model and those from other 5 hospitals (n = 171) were used for external validation. After detecting prognostic factors in multivariable Cox proportional-hazards regression analysis, patients were classified into 3 risk groups, favorable (0), intermediate (1-2), and poor (3 and more) by the number of prognostic factors.Seven variables such as more than 2 metastasis sites, no prior nephrectomy, Eastern Cooperative Oncology Group performance status ≥2, low hemoglobin, high serum corrected calcium, high neutrophil, high serum alkaline phosphatase were identified as prognostic factors for poor overall survival. Also, risk groups were categorized into 3 groups; median overall survival was 61.1 months in favorable, 26.5 months in intermediate, and 6.8 months in poor group. KRoCS ranked the first in all 3 statistical parameters including akaike information criterion (AIC), concordance index and generalized R2 among other prognostic models.We developed the KRoCS model and validated it externally with demonstrating its superiority over MSKCC and IMDC models. The KRoCS model can provide useful information for counseling patients with clear cell mRCC regarding life-expectancy.</description><subject>Carcinoma, Renal Cell - diagnosis</subject><subject>Carcinoma, Renal Cell - mortality</subject><subject>Carcinoma, Renal Cell - pathology</subject><subject>Carcinoma, Renal Cell - therapy</subject><subject>Female</subject><subject>Humans</subject><subject>Life Expectancy</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Molecular Targeted Therapy - methods</subject><subject>Neoplasm Staging</subject><subject>Observational Study</subject><subject>Patient Care Planning - standards</subject><subject>Prognosis</subject><subject>Quality Improvement</subject><subject>Reproducibility of Results</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk Assessment - methods</subject><subject>Risk Assessment - standards</subject><subject>Risk Factors</subject><subject>Survival Analysis</subject><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkk1v1DAQhgMC0aUgcUdCPnJJseM4TjhUQlsKiK5AAs6W7Ux2DY692M4u_Ps6u6V8XPDBlmbe95nxaIriKcFnBHf8xeriDP8-VdNWzd1iQRhtStY19b1ikaOs5B2vT4qHMX7FmFBe1Q-KE1rTjrd1s7jz5GPwa-djMhoNUicfIhp8QH4HQVqL4hR2ZictMg5tZTLgUkR7kzZIW5ABaciiEZKMSc6MAC6LD1EtgzbOj_IlWvkeLOphB9Zvx8xA0vUIfiQIszzzTZ_t3h3RKxh9MDnxyXrp0HtIWWjcGi2l0xDQMhPyMx6oMyltIDd4oM0U-d-WUC4nlYyAtHfRh2Sm8ch7VNwfpI3w-OY9Lb5cvv68fFtefXjzbvnqqtSUsa4ERYANPa85Vz1lDaheQ0tVo2nLWMUHqvqBKN7yuqecM0aUrgnFqiWqbthAT4vzI3c7qRGy2aU8cLENZpThp_DSiL8zzmzE2u9ESzOHthnw_AYQ_PcJYhKjifMvpQM_RVGxhnRVne8spUepDj7GAMNtGYLFvEtidSH-3aXsevZnh7eeX8uTBfVRsPc2zz5-s9MegtiAtGlz4DHeVWWFK4Jb3OByjnT0GjZK3Y8</recordid><startdate>20210806</startdate><enddate>20210806</enddate><creator>Shin, Dongrul</creator><creator>Jeong, Chang Wook</creator><creator>Song, Cheryn</creator><creator>Kang, Minyong</creator><creator>Seo, Seong Il</creator><creator>Kim, Jung Kwon</creator><creator>Lee, Hakmin</creator><creator>Chung, Jinsoo</creator><creator>Hong, Sung-Hoo</creator><creator>Hwang, Eu Chang</creator><creator>Kwak, Cheol</creator><creator>Park, Jae Young</creator><general>Lippincott Williams &amp; Wilkins</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6664-6846</orcidid></search><sort><creationdate>20210806</creationdate><title>Prognostic factors for overall survival in patients with clear cell metastatic renal cell carcinoma: Model development and external validation with Memorial Sloan Kettering Cancer Center model and the international metastatic renal cell carcinoma database consortium model</title><author>Shin, Dongrul ; Jeong, Chang Wook ; Song, Cheryn ; Kang, Minyong ; Seo, Seong Il ; Kim, Jung Kwon ; Lee, Hakmin ; Chung, Jinsoo ; Hong, Sung-Hoo ; Hwang, Eu Chang ; Kwak, Cheol ; Park, Jae Young</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3559-eb1e5fd7477bd356ebdce83b6c385527f3bdf1b7874d377551bc4130b81b465f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Carcinoma, Renal Cell - diagnosis</topic><topic>Carcinoma, Renal Cell - mortality</topic><topic>Carcinoma, Renal Cell - pathology</topic><topic>Carcinoma, Renal Cell - therapy</topic><topic>Female</topic><topic>Humans</topic><topic>Life Expectancy</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Molecular Targeted Therapy - methods</topic><topic>Neoplasm Staging</topic><topic>Observational Study</topic><topic>Patient Care Planning - standards</topic><topic>Prognosis</topic><topic>Quality Improvement</topic><topic>Reproducibility of Results</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk Assessment - methods</topic><topic>Risk Assessment - standards</topic><topic>Risk Factors</topic><topic>Survival Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shin, Dongrul</creatorcontrib><creatorcontrib>Jeong, Chang Wook</creatorcontrib><creatorcontrib>Song, Cheryn</creatorcontrib><creatorcontrib>Kang, Minyong</creatorcontrib><creatorcontrib>Seo, Seong Il</creatorcontrib><creatorcontrib>Kim, Jung Kwon</creatorcontrib><creatorcontrib>Lee, Hakmin</creatorcontrib><creatorcontrib>Chung, Jinsoo</creatorcontrib><creatorcontrib>Hong, Sung-Hoo</creatorcontrib><creatorcontrib>Hwang, Eu Chang</creatorcontrib><creatorcontrib>Kwak, Cheol</creatorcontrib><creatorcontrib>Park, Jae Young</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medicine (Baltimore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shin, Dongrul</au><au>Jeong, Chang Wook</au><au>Song, Cheryn</au><au>Kang, Minyong</au><au>Seo, Seong Il</au><au>Kim, Jung Kwon</au><au>Lee, Hakmin</au><au>Chung, Jinsoo</au><au>Hong, Sung-Hoo</au><au>Hwang, Eu Chang</au><au>Kwak, Cheol</au><au>Park, Jae Young</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic factors for overall survival in patients with clear cell metastatic renal cell carcinoma: Model development and external validation with Memorial Sloan Kettering Cancer Center model and the international metastatic renal cell carcinoma database consortium model</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2021-08-06</date><risdate>2021</risdate><volume>100</volume><issue>31</issue><spage>e26826</spage><epage>e26826</epage><pages>e26826-e26826</pages><issn>0025-7974</issn><eissn>1536-5964</eissn><abstract>To develop a new prognostic model for the overall survival of patients with clear cell metastatic renal cell carcinoma (mRCC) using Korean Renal Cancer Study Group (KRoCS) database and compared it with 2 renowned prognostic models: the Memorial Sloan Kettering Cancer Center (MSKCC) and the international metastatic renal cell carcinoma database consortium (IMDC) models.Data of 790 patients diagnosed with mRCC and receiving targeted therapy as their first-line treatment were pooled to this study. Data from 4 hospitals (n = 619) were used to develop the new model and those from other 5 hospitals (n = 171) were used for external validation. After detecting prognostic factors in multivariable Cox proportional-hazards regression analysis, patients were classified into 3 risk groups, favorable (0), intermediate (1-2), and poor (3 and more) by the number of prognostic factors.Seven variables such as more than 2 metastasis sites, no prior nephrectomy, Eastern Cooperative Oncology Group performance status ≥2, low hemoglobin, high serum corrected calcium, high neutrophil, high serum alkaline phosphatase were identified as prognostic factors for poor overall survival. Also, risk groups were categorized into 3 groups; median overall survival was 61.1 months in favorable, 26.5 months in intermediate, and 6.8 months in poor group. KRoCS ranked the first in all 3 statistical parameters including akaike information criterion (AIC), concordance index and generalized R2 among other prognostic models.We developed the KRoCS model and validated it externally with demonstrating its superiority over MSKCC and IMDC models. The KRoCS model can provide useful information for counseling patients with clear cell mRCC regarding life-expectancy.</abstract><cop>United States</cop><pub>Lippincott Williams &amp; Wilkins</pub><pmid>34397846</pmid><doi>10.1097/MD.0000000000026826</doi><orcidid>https://orcid.org/0000-0002-6664-6846</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0025-7974
ispartof Medicine (Baltimore), 2021-08, Vol.100 (31), p.e26826-e26826
issn 0025-7974
1536-5964
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8341338
source HEAL-Link subscriptions: Lippincott Williams & Wilkins; IngentaConnect Journals; PubMed Central
subjects Carcinoma, Renal Cell - diagnosis
Carcinoma, Renal Cell - mortality
Carcinoma, Renal Cell - pathology
Carcinoma, Renal Cell - therapy
Female
Humans
Life Expectancy
Male
Middle Aged
Models, Statistical
Molecular Targeted Therapy - methods
Neoplasm Staging
Observational Study
Patient Care Planning - standards
Prognosis
Quality Improvement
Reproducibility of Results
Republic of Korea - epidemiology
Risk Assessment - methods
Risk Assessment - standards
Risk Factors
Survival Analysis
title Prognostic factors for overall survival in patients with clear cell metastatic renal cell carcinoma: Model development and external validation with Memorial Sloan Kettering Cancer Center model and the international metastatic renal cell carcinoma database consortium model
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T20%3A09%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prognostic%20factors%20for%20overall%20survival%20in%20patients%20with%20clear%20cell%20metastatic%20renal%20cell%20carcinoma:%20Model%20development%20and%20external%20validation%20with%20Memorial%20Sloan%20Kettering%20Cancer%20Center%20model%20and%20the%20international%20metastatic%20renal%20cell%20carcinoma%20database%20consortium%20model&rft.jtitle=Medicine%20(Baltimore)&rft.au=Shin,%20Dongrul&rft.date=2021-08-06&rft.volume=100&rft.issue=31&rft.spage=e26826&rft.epage=e26826&rft.pages=e26826-e26826&rft.issn=0025-7974&rft.eissn=1536-5964&rft_id=info:doi/10.1097/MD.0000000000026826&rft_dat=%3Cproquest_pubme%3E2561924561%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3559-eb1e5fd7477bd356ebdce83b6c385527f3bdf1b7874d377551bc4130b81b465f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2561924561&rft_id=info:pmid/34397846&rfr_iscdi=true