Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lisa Wotherspoon"'
Autor:
Sarah J Stock, Margaret Horne, Merel Bruijn, Helen White, Robert Heggie, Lisa Wotherspoon, Kathleen Boyd, Lorna Aucott, Rachel K Morris, Jon Dorling, Lesley Jackson, Manju Chandiramani, Anna David, Asma Khalil, Andrew Shennan, Gert-Jan van Baaren, Victoria Hodgetts-Morton, Tina Lavender, Ewoud Schuit, Susan Harper-Clarke, Ben Mol, Richard D Riley, Jane Norman, John Norrie
Publikováno v:
Health Technology Assessment, Vol 25, Iss 52 (2021)
Background: The diagnosis of preterm labour is challenging. False-positive diagnoses are common and result in unnecessary, potentially harmful treatments (e.g. tocolytics, antenatal corticosteroids and magnesium sulphate) and costly hospital admissio
Externí odkaz:
https://doaj.org/article/b1919142f68d4f34995598fa709323e0
Autor:
Sarah J Stock, Margaret Horne, Merel Bruijn, Helen White, Kathleen A Boyd, Robert Heggie, Lisa Wotherspoon, Lorna Aucott, Rachel K Morris, Jon Dorling, Lesley Jackson, Manju Chandiramani, Anna L David, Asma Khalil, Andrew Shennan, Gert-Jan van Baaren, Victoria Hodgetts-Morton, Tina Lavender, Ewoud Schuit, Susan Harper-Clarke, Ben W Mol, Richard D Riley, Jane E Norman, John Norrie
Publikováno v:
PLoS Medicine, Vol 18, Iss 7, p e1003686 (2021)
BackgroundTimely interventions in women presenting with preterm labour can substantially improve health outcomes for preterm babies. However, establishing such a diagnosis is very challenging, as signs and symptoms of preterm labour are common and ca
Externí odkaz:
https://doaj.org/article/6b660fbdbe3646b998147d21a4076e61
Autor:
Rachel K. Morris, Margaret Horne, Anna L. David, Jon Dorling, Andrew Shennan, Tina Lavender, Susan Harper-Clarke, Kathleen A Boyd, Richard D Riley, Asma Khalil, Lorna Aucott, Victoria Hodgetts-Morton, Gert-Jan van Baaren, Ben W.J. Mol, Robert Heggie, Lisa Wotherspoon, Helen White, Jane E. Norman, Manju Chandiramani, Lesley Jackson, Merel Bruijn, Ewoud Schuit, John Norrie, Sarah J. Stock
Publikováno v:
Stock, S J E, Horne, M, Bruijn, M, White, H, Heggie, R, Wotherspoon, L, Boyd, K A, Aucott, L, Morris, R K, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A H, van Baaren, G-J, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B, Riley, R D, Norman, J E & Norrie, J 2021, ' A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort study ', Health Technol Assess, vol. 25, no. 52 . https://doi.org/10.3310/hta25520
Stock, S J E, Horne, M, Bruijn, M, White, H, Heggie, R, Wotherspoon, L, Boyd, K, Aucott, L, Morris, R K, Dorling, J, Jackson, L, Chandiramani, M, David, A, Khalil, A, Shennan, A, Gert-Jan, V B, Hodgetts Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B, Riley, R, Norman, J & Norrie, J 2021, ' A prognostic model, including quantitative fetal fibronectin, to predict preterm labour : The QUIDS meta-analysis and prospective cohort study ', Health Technology Assessment, vol. 25, no. 52 . https://doi.org/10.3310/hta25520
Health Technology Assessment, Vol 25, Iss 52 (2021)
Stock, S J E, Horne, M, Bruijn, M, White, H, Heggie, R, Wotherspoon, L, Boyd, K, Aucott, L, Morris, R K, Dorling, J, Jackson, L, Chandiramani, M, David, A, Khalil, A, Shennan, A, Gert-Jan, V B, Hodgetts Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B, Riley, R, Norman, J & Norrie, J 2021, ' A prognostic model, including quantitative fetal fibronectin, to predict preterm labour : The QUIDS meta-analysis and prospective cohort study ', Health Technology Assessment, vol. 25, no. 52 . https://doi.org/10.3310/hta25520
Health Technology Assessment, Vol 25, Iss 52 (2021)
Background The diagnosis of preterm labour is challenging. False-positive diagnoses are common and result in unnecessary, potentially harmful treatments (e.g. tocolytics, antenatal corticosteroids and magnesium sulphate) and costly hospital admission
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5cb17f94d06fb8d0e8dd6ccc8e490f7
https://pure.manchester.ac.uk/ws/files/206988013/3037481.pdf
https://pure.manchester.ac.uk/ws/files/206988013/3037481.pdf
Autor:
Merel Bruijn, Sarah J. Stock, Jon Dorling, Ewoud Schuit, Rachel K. Morris, Asma Khalil, Tina Lavender, John Norrie, Lesley Jackson, Gert-Jan van Baaren, Manju Chandiramani, Jane E. Norman, Victoria Hodgetts-Morton, Kathleen A Boyd, Margaret Horne, Susan Harper-Clarke, Anna L. David, Ben W.J. Mol, Robert Heggie, Lisa Wotherspoon, Helen White, Andrew Shennan, Lorna Aucott, Richard D Riley
Publikováno v:
PLoS Medicine
Stock, S J E, Horne, M, Bruijn, M, White, H, Boyd, K A, Heggie, R, Wotherspoon, L, Aucott, L S, Morris, R, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A, Gert-Jan, V B, Victoria, H M, Lavender, T, Schuit, E, Susan, H-C, Mol, B W J, Richard, R, Norman, J E & Norrie, J 2021, ' Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study) : A prospective cohort study and individual participant data meta-analysis ', PLoS Medicine . https://doi.org/10.1371/journal.pmed.1003686
PLoS Medicine, Vol 18, Iss 7, p e1003686 (2021)
Stock, S J, Horne, M, Bruijn, M, White, H, Boyd, K A, Heggie, R, Wotherspoon, L, Aucott, L, Morris, R K, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A, van Baaren, G-J, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B W, Riley, R D, Norman, J E & Norrie, J 2021, ' Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study) : A prospective cohort study and individual participant data meta-analysis ', PLoS Medicine, vol. 18, no. 7, e1003686, pp. e1003686 . https://doi.org/10.1371/journal.pmed.1003686
Stock, S, Horne, M, Bruijn, M, White, H, Boyd, K A, Heggie, R, Wotherspoon, L, Aucott, L, Morris, R, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A H, van Baaren, G-J, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B, Riley, R D, Norman, J E & Norrie, J 2021, ' Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study): A prospective cohort study and individual participant data meta-analysis. ', PLOS Medicine, vol. 18, no. 7, e1003686 . https://doi.org/10.1371/journal.pmed.1003686
Stock, S J E, Horne, M, Bruijn, M, White, H, Boyd, K A, Heggie, R, Wotherspoon, L, Aucott, L S, Morris, R, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A, Gert-Jan, V B, Victoria, H M, Lavender, T, Schuit, E, Susan, H-C, Mol, B W J, Richard, R, Norman, J E & Norrie, J 2021, ' Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study) : A prospective cohort study and individual participant data meta-analysis ', PLoS Medicine . https://doi.org/10.1371/journal.pmed.1003686
PLoS Medicine, Vol 18, Iss 7, p e1003686 (2021)
Stock, S J, Horne, M, Bruijn, M, White, H, Boyd, K A, Heggie, R, Wotherspoon, L, Aucott, L, Morris, R K, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A, van Baaren, G-J, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B W, Riley, R D, Norman, J E & Norrie, J 2021, ' Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study) : A prospective cohort study and individual participant data meta-analysis ', PLoS Medicine, vol. 18, no. 7, e1003686, pp. e1003686 . https://doi.org/10.1371/journal.pmed.1003686
Stock, S, Horne, M, Bruijn, M, White, H, Boyd, K A, Heggie, R, Wotherspoon, L, Aucott, L, Morris, R, Dorling, J, Jackson, L, Chandiramani, M, David, A L, Khalil, A, Shennan, A H, van Baaren, G-J, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B, Riley, R D, Norman, J E & Norrie, J 2021, ' Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study): A prospective cohort study and individual participant data meta-analysis. ', PLOS Medicine, vol. 18, no. 7, e1003686 . https://doi.org/10.1371/journal.pmed.1003686
Background Timely interventions in women presenting with preterm labour can substantially improve health outcomes for preterm babies. However, establishing such a diagnosis is very challenging, as signs and symptoms of preterm labour are common and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23a09bf43a6eb5db5d5a89df3d714a5e
https://pubmed.ncbi.nlm.nih.gov/34228732
https://pubmed.ncbi.nlm.nih.gov/34228732