Treatment correlates of successful outcomes in pulmonary multidrug-resistant tuberculosis: an individual patient data meta-analysis.

Author: , AhmadNafees, AhujaShama D, AkkermanOnno W, AlffenaarJan-Willem C, AndersonLaura F, BaghaeiParvaneh, BangDidi, BarryPennan M, BastosMayara L, BeheraDigamber, BenedettiAndrea, BissonGregory P, BoereeMartin J, BonnetMaryline, BrodeSarah K, BrustJames C M, CaiYing, CaumesEric, CegielskiJ Peter, CentisRosella, ChanEdward D, ChanPei-Chun, ChangKwok-Chiu, CharlesMacarthur, CiruleAndra, D'AmbrosioLia, DalcolmoMargareth Pretti, DhedaKeertan, EsmailAliasgar, FloodJennifer, FoxGregory J, FregonaGeisa, Fréchet-JachymMathilde, GayosoRegina, GegiaMedea, GlerMaria Tarcela, GuSue, GuglielmettiLorenzo, HoltzTimothy H, HughesJennifer, IsaakidisPetros, JarlsbergLeah, KempkerRussell R, KeshavjeeSalmaan, KhanFaiz Ahmad, KipianiMaia, KoenigSerena P, KohWon-Jung, KritskiAfranio, KuksaLiga, KvasnovskyCharlotte L, KwakNakwon, LanZhiyi, LangeChristoph, Laniado-LaborínRafael, LeeMyungsun, LeimaneVaira, LeungChi-Chiu, LeungEric Chung-Ching, LiPei Zhi, LowenthalPhil, MacielEthel L, MarksSuzanne M, MaseSundari, MbuagbawLawrence, MenziesDick, MiglioriGiovanni B, MilanovVladimir, MillerAnn C, MitnickCarole D, ModongoChawangwa, MohrErika, MonederoIgnacio, NahidPayam, NdjekaNorbert, O'DonnellMax R, PadayatchiNesri, PalmeroDomingo, PapeJean William, PodewilsLaura J, ReynoldsIan, RiekstinaVija, RobertJérôme, RodriguezMaria, SchnippelKathryn, SeaworthBarbara, SeungKwonjune J, ShimTae Sun, SinglaRupak, SmithSarah E, SotgiuGiovanni, SukhbaatarGanzaya, TabarsiPayam, TiberiSimon, TrajmanAnete, TrieuLisa, UdwadiaZarir F, VezirisNicolas, ViikleppPiret, VilbrunStalz Charles, WalshKathleen, WestenhouseJanice, YewWing-Wai, YimJae-Joon, ZetolaNicola M, ZignolMatteo, de VriesGerard, van der WerfTjip S

Paper Details 
Original Abstract of the Article :
BACKGROUND: Treatment outcomes for multidrug-resistant tuberculosis remain poor. We aimed to estimate the association of treatment success and death with the use of individual drugs, and the optimal number and duration of treatment with those drugs in patients with multidrug-resistant tuberculosis. ...See full text at original site
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引用元:
https://pubmed.ncbi.nlm.nih.gov/30215381

データ提供:米国国立医学図書館(NLM)

Multidrug-Resistant Tuberculosis: Understanding Treatment Success

This study tackles a pressing global health issue: [multidrug-resistant tuberculosis]. Imagine a desert where each grain of sand represents a complex challenge in battling this disease. The researchers meticulously analyzed data from patients around the world to understand the factors associated with successful treatment outcomes. Their findings offer valuable insights into the effectiveness of different drugs and strategies for combating multidrug-resistant tuberculosis.

Optimizing Treatment for Multidrug-Resistant Tuberculosis: Insights From a Meta-Analysis

This comprehensive meta-analysis revealed that certain drugs, including [specific drugs], were associated with better treatment success and lower mortality rates. This information is crucial for clinicians to optimize treatment strategies and improve patient outcomes. The findings also highlight the importance of considering drug resistance patterns when choosing treatment regimens.

The Importance of Personalized Treatment for Multidrug-Resistant Tuberculosis

This study emphasizes the need for personalized treatment approaches for multidrug-resistant tuberculosis. Consulting a medical professional and adhering to recommended treatment regimens are crucial steps in combating this disease. This research serves as a beacon of hope in the vast desert of infectious diseases, guiding clinicians towards more effective treatment strategies.

Dr. Camel's Conclusion

This research represents a significant step forward in our fight against multidrug-resistant tuberculosis. By identifying key drugs and treatment strategies associated with better outcomes, the researchers have provided invaluable tools for clinicians to optimize patient care. This research, like a camel traversing a challenging desert, offers us hope and a path towards better treatments and improved patient survival.

Date :
  1. Date Completed 2018-10-22
  2. Date Revised 2022-04-08
Further Info :

Pubmed ID

30215381

DOI: Digital Object Identifier

NIHMS992989

SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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