Factors associated with COVID-19-related death using OpenSAFELY.

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William B. Grant, PhD

@wbgrant2 · X

Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes data from over 17 million adult NHS patients in England, is used to examine factors associated with COVID-19-related death. Nature, 584;430, 20 Aug. 2020 https://t.co/QVvW2CiHr1

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Adam Cochran (adamscochran.eth)

@adamscochran · X

@DeFiSurfer808 I mean I don't know the claim that the US is targeting "ethnically targeted bioweapons" is something that is redeeming? But also: 1) Furin site not engineered: https://t.co/kju4vBl0WY 2) Chinese rates just as high or higher: https://t.co/K9t5K13UNN

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Patricio Santagapita

@psantagapita · X

Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature https://t.co/dugXIkpgeC (2020). Aclaraciones: Estudio hecho sobre mayores de 18 años. Noten que puse 10926 muertes. Cada una, cuenta y duele.

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Thomas Koenig

@th_koenig · X

Anderswo im August: "Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths." cc @registerforsch1 @pazmandy @CzypionkaThomas https://t.co/LYKh6HIqXB

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KS Saini, MD

@KSainiMD · X

#NHS England study of >17 m patients including >10K deaths from #COVID. Hematological malignancy within the past year increases the hazard of death from COVID-19 (HR 3.02) and solid #cancer by HR 1.81. Tremendous effort, valuable insights! @OncoAlert https://t.co/eqmxhcnWZE

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藤原悠馬

@honoiro2021 · X

＜喫煙はコロナ死亡リスクを上げません＞ コロナ死因リスクを調査した、世界最大規模のイギリスでのコホート研究が昨年ネイチャーに発表されています。　 　 結果、肥満や糖尿病は当然ながら強いリスク因子ですが、喫煙はコロナ死亡のリスク因子ではありませんでした。 https://t.co/0C1VR8c9P0

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Missingsnowman ☃

@missingsnowman · X

@NickHudsonCT @ShaulaetLesath @YouWhat1715936 @curlsforgurls OpenSAFELY: factors associated with COVID-19 death in 17 million patients Hazard Ratios - Comorbidities https://t.co/SLvAKfXZDs

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Adam Cochran (adamscochran.eth)

@adamscochran · X

@WagecuckR The man claims the US is making race based bioweapons, misuses the term on FURIN sites, and claims it impacted Chinese people less, when studies show it did not: https://t.co/K9t5K13UNN

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Adam Cochran (adamscochran.eth)

@adamscochran · X

@brbtherooster https://t.co/K9t5K13UNN The race based studies out there actually overwhelmingly disagree with him too.

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Adam Cochran (adamscochran.eth)

@adamscochran · X

@0xJoshuaSL Nope, unless you want to factor in that Israel was super aggressive on vaccine roll out early maybe? Also his claim on Asian population doesn't hold weight either as UK found: https://t.co/K9t5K13UNN

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Adam Cochran (adamscochran.eth)

@adamscochran · X

@DeFiSurfer808 I mean I don't know the claim that the US is targeting "ethnically targeted bioweapons" is something that is redeeming? But also: 1) Furin site not engineered: https://t.co/kju4vBl0WY 2) Chinese rates just as high or higher: https://t.co/K9t5K13UNN

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Amy Grove

@mygrove · X

RT @missingsnowman: @DrAseemMalhotra 100%. In this case however he is lying. #OpenSAFELY project had produced very high quality stratified…

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Missingsnowman ☃

@missingsnowman · X

RT @missingsnowman: @DrAseemMalhotra 100%. In this case however he is lying. #OpenSAFELY project had produced very high quality stratified…

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Missingsnowman ☃

@missingsnowman · X

@DrAseemMalhotra 100%. In this case however he is lying. #OpenSAFELY project had produced very high quality stratified risk data by age & comorbidity. Williamson, E. J. et al. Factors associated with COVID-19-related death using OpenSAFELY. [July 8 2020] https://t.co/Faio1qeLZD

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Missingsnowman ☃

@missingsnowman · X

@vigne_k @piersmorgan Williamson, E. J. et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature 584, 430–436 (2020). [July 8 2020] https://t.co/PSrUDABiVS https://t.co/Faio1qeLZD https://t.co/IPs5HeVuWO

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Missingsnowman ☃

@missingsnowman · X

RT @missingsnowman: @CMO_England Perhaps you'd like to add the actual URL to the OpenSAFELY paper showing young people were never at risk.…

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Missingsnowman ☃

@missingsnowman · X

RT @missingsnowman: @CMO_England Perhaps you'd like to add the actual URL to the OpenSAFELY paper showing young people were never at risk.…

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Missingsnowman ☃

@missingsnowman · X

@CMO_England Perhaps you'd like to add the actual URL to the OpenSAFELY paper showing young people were never at risk. #Reference4 #OpenSAFELY #AgeStratified Factors associated with COVID-19-related death using OpenSAFELY - 2020;584(7821):430-436 https://t.co/Faio1qfjPb https://t.co/c20La8jryB

1.the original Nature paper ‘factors associated with COVID-19 related death’: https://www.nature.com/articles/s41586-020-2521-4

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Dr.Vimoj J. Nair MBBS MD MSc FRCPC

@drvimojnair · X

Factors associated with COVID-19-related death using OpenSAFELY https://t.co/T7qBGmRNzF

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ao5884

@ao58841 · X

@CstultzUX @SADl819 @Timcast No im saying that until you account for all variables you cannot measure impact of a single variable. for example https://t.co/B5hVQw2Mcr

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itisallinmy_hEDS

@VIoletTailor · X

RT @healthmisinfo: Being 10 years older associated with an increased risk many times greater than class II obesity (BMI 35-40). The same fo…

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itisallinmy_hEDS

@VIoletTailor · X

RT @healthmisinfo: In this same study, class I obesity (BMI 30-35) showed no increased risk vs. normal weight. https://t.co/WTk4k8ednn htt…

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itisallinmy_hEDS

@VIoletTailor · X

RT @healthmisinfo: This is confirmed by a massive, 17 million-person study out of Oxford. This study found only a 1.92 higher risk of deat…

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Public Health Initiative Against Misinformation

@healthmisinfo · X

Being 10 years older associated with an increased risk many times greater than class II obesity (BMI 35-40). The same for simply being male. https://t.co/WTk4k8ednn https://t.co/0dZMKdzC0N

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Public Health Initiative Against Misinformation

@healthmisinfo · X

In this same study, class I obesity (BMI 30-35) showed no increased risk vs. normal weight. https://t.co/WTk4k8ednn https://t.co/KkGYwUdyJ2

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Public Health Initiative Against Misinformation

@healthmisinfo · X

This is confirmed by a massive, 17 million-person study out of Oxford. This study found only a 1.92 higher risk of death from COVID from class III obesity (BMI >40). https://t.co/WTk4k8ednn https://t.co/xYieP7DByl

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Peter Salvatori

@pjsalvatori · X

@investwiselyfo1 @Davret1 @KathleenRuns @ChristinaPushaw Seems high. Post a link to your source. You should research "hazard ratios". https://t.co/3EzXw8b06M

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PF Anderson @pfanderson@disabled.social

@pfanderson · X

Factors associated with COVID-19-related death using OpenSAFELY https://t.co/3uwMgsPS4V

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藤原悠馬

@honoiro2021 · X

＜喫煙はコロナ死亡リスクを上げません＞ コロナ死因リスクを調査した、世界最大規模のイギリスでのコホート研究が昨年ネイチャーに発表されています。　 　 結果、肥満や糖尿病は当然ながら強いリスク因子ですが、喫煙はコロナ死亡のリスク因子ではありませんでした。 https://t.co/0C1VR8c9P0

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Isatou Sarr

@IsatouSarr4 · X

Factors associated with COVID-19-related death using OpenSAFELY https://t.co/whB7FIgFn4

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Isatou Sarr

@IsatouSarr4 · X

we will update and extend our results regularly. https://t.co/whB7FIgFn4

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Ash Paul

@pash22 · X

RT @Laconic_doc: @ralanshirley @felly500 The OpenSAFELY data suggested age was way greater than other factors after multivariate logistical…

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Alan Shirley

@ralanshirley · X

RT @Laconic_doc: @ralanshirley @felly500 The OpenSAFELY data suggested age was way greater than other factors after multivariate logistical…

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Dr Kit Byatt

@Laconic_doc · X

@ralanshirley @felly500 The OpenSAFELY data suggested age was way greater than other factors after multivariate logistical regression... ...FWIW! [ref: https://t.co/nMuVSnOjFw]

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Wouter Havinga

@wouterhavinga · X

@bengoldacre @Azeem_Majeed Factors associated with COVID-19-related death using OpenSAFELY July2020 Diabetes (known >6months https://t.co/jY2ibqP8zb & https://t.co/cu2IJff17Z @FPH_PHPC @rcgp Just keep ignoring the fact that people can reverse T2D? Leads to better Covid19 survival https://t.co/zaI0uIjSQn

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LH_RC ➡️

@FHA22428949 · X

RT @LymphomeEspoir: Sources : Williamson, E.J., Walker, A.J., Bhaskaran, K. et al. Factors associated with COVID-19-related death using Op…

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ELLyE l’Association #Lymphomes #LLC

@AssoELLyE · X

Sources : Williamson, E.J., Walker, A.J., Bhaskaran, K. et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature 584, 430–436 (2020). https://t.co/xlLsBrIeOY https://t.co/mms7wPuO9O

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Ken McCarthy

@KenMcCarthy · X

Risk of developing immune system hyperreaction ("cytokine storm") & dying from COVID-19 greater when conventional drugs are used, or if one already suffers from a chronic inflammatory comorbidity caused by or treated with conventional drugs. Nature 2020 https://t.co/OVxqcf3uAx

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Roxana Daneshjou MD/PhD

@RoxanaDaneshjou · X

In case people are curious about what I'm reading: https://t.co/sPkneZySdO

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Is it true

@notsureitistrue · X

RT @JTollitt: @NDTsocial @ERAEDTA Fascinating paper highlighting the independent association of CKD4&5 with #COVID19 mortality (aHR 2.52).…

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James Tollitt

@JTollitt · X

@NDTsocial @ERAEDTA Fascinating paper highlighting the independent association of CKD4&5 with #COVID19 mortality (aHR 2.52). I wonder if all (? media?) attention on SE status, ethnicity, diabetes etc has distracted us a wee bit during this terrible disease https://t.co/IDIs7QR8f2

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Descomplica covid

@descomplicacovd · X

Referências: WILLIAMSON, E. J. et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature, v. 584, p. 430-436, 2020. Disponível em: https://t.co/D3SLn0CStM

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Plattform Registerforschung

@registerforsch1 · X

RT @th_koenig: Anderswo im August: "Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths.…

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Thomas Koenig

@th_koenig · X

Anderswo im August: "Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths." cc @registerforsch1 @pazmandy @CzypionkaThomas https://t.co/LYKh6HIqXB

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Rheum Cat

@rheum_cat · X

@rheum_covid @Drbeckyg Known associations with #COVID-19 related death: findings from the UK OpenSAFELY study, which you can read HERE: https://t.co/8eLwfMp47K These factors included being male, older age, & comorbidities that included the category of RA/SLE/PsO. #ACR20 #ACRambassador https://t.co/nOYCMr55TI

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Helen Simpson

@hormone_doc · X

Factors associated with COVID-19-related death using OpenSAFELY | Nature // amazing use of data. Excess Covid death socioeconomic, small part related to underlying health conditions. Govt prob don’t want us to see this as hard to fix. https://t.co/cYQigzrgtT

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Dra. Florencia vivero

@Florenciaviver4 · X

RT @mugartegil: @yurilisjfuentes @Florenciaviver4 @tjcpanlar @PanlarJ @PanlarLeague @SvrOrg #TJCPANLAR en OPENSafely, el riesgo de AR/LES/P…

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Manuel Ugarte-Gil

@mugartegil · X

@yurilisjfuentes @Florenciaviver4 @tjcpanlar @PanlarJ @PanlarLeague @SvrOrg #TJCPANLAR en OPENSafely, el riesgo de AR/LES/Psoriasis fue menor que otras enfermedades crónicas (DM; enfermedad renal, etc) https://t.co/TVways3Zlk

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Koos van der Wilt

@koos_wilt · X

@hommel_b Ik ben zo geniaal dat ik deze PubMed entries meteen begrijp. Het gaat mij erom aan te tonen dat veel arsten en medische onderzoekers dingen aanvatten die volgens u niet aangevat moeten worden, want economie. https://t.co/f1K7HARsTq

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Koos van der Wilt

@koos_wilt · X

@hommel_b Nog even wat info over maskers uit PubMed. https://t.co/79rMK8Mao6 https://t.co/V2KZxAqDdS https://t.co/f1K7HARsTq

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Cody Gathers

@CodyGathersMD · X

RT @CHOP_CCMFellows: This all lead to a discussion about a few recent #COVID19 studies including, Factors associated with COVID-19-related…

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CHOP PICU Fellows

@CHOP_CCMFellows · X

This all lead to a discussion about a few recent #COVID19 studies including, Factors associated with COVID-19-related death using OpenSAFELY. https://t.co/A8ylwyahnx

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Covid-19 bot

@Covidbot2020 · X

Factors associated with COVID-19-related death using OpenSAFELY https://t.co/ooBFbCK5Wv report misinformation to @eli_b_goode by DM #covid19 #stayhome

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Jim Myers

@kidneystories · X

RT @PGee51: Factors associated with COVID-19-related death using OpenSAFELY | Nature https://t.co/QYUDnD5YqS

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DialysisSaves

@DialysisSaves · X

RT @PGee51: Factors associated with COVID-19-related death using OpenSAFELY | Nature https://t.co/QYUDnD5YqS

CC

Chronic Disease Coalition

@ChronicRights · X

RT @PGee51: Factors associated with COVID-19-related death using OpenSAFELY | Nature https://t.co/QYUDnD5YqS

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Patrick O. Gee, Ph.D. JLC

@PGee51 · X

Factors associated with COVID-19-related death using OpenSAFELY | Nature https://t.co/QYUDnD5YqS

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Ian Jenkins

@MrJTJenkins · X

Factors associated with COVID-19-related death using OpenSAFELY | Nature ⁦@DrOliverWarren⁩ (as promised) ⁦@etpring⁩ https://t.co/uqx242GgIG

DP

DULSE PHARMA

@DulsePharma · X

RT @wbgrant2: Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes dat…

DS

dante s

@dantesmithg · X

RT @wbgrant2: Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes dat…

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Lydia

@lydia967 · X

RT @wbgrant2: Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes dat…

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William B. Grant, PhD

@wbgrant2 · X

Factors associated with COVID-19-related death using OpenSAFELY OpenSAFELY, a new health analytics platform that includes data from over 17 million adult NHS patients in England, is used to examine factors associated with COVID-19-related death. Nature, 584;430, 20 Aug. 2020 https://t.co/QVvW2CiHr1

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Geraint Rees

@profgeraintrees · X

Factors associated with COVID-19-related death using OpenSAFELY https://t.co/ek2vtbyYLB

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Madhavi

@bajekal · X

@MikaKivimaki Nature study (https://t.co/ybgyuxWnbO) estimating C19 hazard rate in UK shows a much lower mortality risk for obese stage1 (1.05 HR) than the hospitalisation risk estimated here (1.70 OR).

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Nido de Pájaro Eco

@NidodePajaroEco · X

RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…

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S.O

@S_O_06 · X

@HattoriYugo 相関レベルで良ければ、重症の気管支喘息だとCOVID-19の死亡リスクが高いかも、って報告はあるよ。 https://t.co/Z6eM69gC1X

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Boshoff Steenekamp

@BoshoffSteeneka · X

The report quantifies a range of clinical risk factors for COVID-19-related death in the largest cohort study conducted by any country to date. https://t.co/c11LSHRtsE

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LKS ASE

@LksAse · X

Williamson, E.J., Walker, A.J., Bhaskaran, K. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature (2020). https://t.co/GuvDxuCXxf #covid19ase

DG

David Domínguez G

@davidando98 · X

Williamson, E.J., Walker, A.J., Bhaskaran, K. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature (2020). https://t.co/3pPIJtzJr3

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FRANCO DIAZ

@cofrandi · X

En Inglaterra: Hombres, Viejos y enf crónicas se mueren mas x COVID > de 80 años riesgo de muerte 20 veces mayor que los de 50 a 59 años. Hombres más que las mujeres. Mueren más los pobres y minorías étnicas. Williamson EJ et al. Nature 2020. (https://t.co/6jk0fnR5ke)

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meilinvia cahyadi

@meilinvia · X

RT @PubTrend: Trending on PubMed: OpenSAFELY: factors associated with COVID-19 death in 17 million patients. https://t.co/PmnVKqrqFd

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CMB

@CMB04325083 · X

Dieser Preprint in Nature https://t.co/ZvwU5z08Lq gewichtet die Risikofaktoren sehr anders als das RKI. Nur zwei Bsp.: Leber-, Nierenkrankheiten und Demenz haben dort einen viel höheren Effekt als Herzkrankheiten. Blutdruck hat keinen Effekt. Was halten Sie davon? #fragkekule

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Leonel Magnaterra

@MagnaLeonel · X

RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…

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PubMed Trending

@PubTrend · X

Trending on PubMed: OpenSAFELY: factors associated with COVID-19 death in 17 million patients. https://t.co/PmnVKqrqFd

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ironman

@hommedefer3 · X

@koro485 ありがとうございます！Peer review fileも見つけたので読んでいたのですが、causalの件についてはコメントを返してやりとりしていたように見えます。https://t.co/NlFjI6oDmr問題となっていた箇所は喫煙と高血圧に関する部分かと思いますが、

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AnaAna

@AnaCoro44 · X

RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…

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Margi

@Margi2017 · X

RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…

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Gabriel A. Angelini

@gaangelini · X

@AntenucciDaniel @agusmarangoni @norabar @jorgeluisaliaga https://t.co/eO92aTuD0J Artículo de Nature dónde también cita a la pobreza como riesgo asociado a.mayor frecuencia de muerte por COVID @AntenucciDaniel @adrianalasino

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Marie

@Miss__Owl · X

RT @psantagapita: Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature ht…

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Patricio Santagapita

@psantagapita · X

Referencia: Williamson, E. J. et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature https://t.co/dugXIkpgeC (2020). Aclaraciones: Estudio hecho sobre mayores de 18 años. Noten que puse 10926 muertes. Cada una, cuenta y duele.

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Daniel D. Rhoads

@danrhoads · X

Interesting analysis of a large data set of #COVID19 cases by @bengoldacre et al in @nature: “[A]ge was strongly associated with [mortality] risk, with those ≥80 years having more than 20-fold increased risk than 50-59 year olds.” https://t.co/ZbnbeGjtIH https://t.co/5bKIWcCDWY

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FREDO

@fredvb1512 · X

RT @LoPosmo: Los números del Sars-CoV-2. Riesgo muerte: — 0.01% de 18 a 39 años. — 0.67% en hombres y 0.44% en mujeres > 80. — Más 80 años…

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Me Lo Contó Un Posmo

@LoPosmo · X

Los números del Sars-CoV-2. Riesgo muerte: — 0.01% de 18 a 39 años. — 0.67% en hombres y 0.44% en mujeres > 80. — Más 80 años, 20 veces más que 50-59 años. — Hombres 1.59 veces más. — Negros 1.88 veces más. — IMC > 40 tiene el doble de riesgo. Fuente: https://t.co/EhDLpqk8pH.

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Georgia Charkoftaki

@gcharkoftaki · X

OpenSAFELY: Factors Associated With COVID-19 Death in 17 Million Patients - https://t.co/PQP7R5rjk1

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Donald Jurivich

@curcumin · X

https://t.co/x54Au770hm Nature article reports 80 year olds have 100x risk of Covid19 death compared to 40 year olds

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Nina Maouelainin, DO, FCCP, MBA

@Lungsolutions · X

RT @KSainiMD: #NHS England study of >17 m patients including >10K deaths from #COVID. Hematological malignancy within the past year increas…

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OncoAlert

@OncoAlert · X

RT @KSainiMD: #NHS England study of >17 m patients including >10K deaths from #COVID. Hematological malignancy within the past year increas…

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KS Saini, MD

@KSainiMD · X

#NHS England study of >17 m patients including >10K deaths from #COVID. Hematological malignancy within the past year increases the hazard of death from COVID-19 (HR 3.02) and solid #cancer by HR 1.81. Tremendous effort, valuable insights! @OncoAlert https://t.co/eqmxhcnWZE