Gordis Epidemiology 7th Edition – David Celentano

The trial re- sults were therefore reported as showing that Therapy A is superior to Therapy B for this condition. The physician is well aware of the results reported for the randomized trial. However, before prescribing therapy for her patient on the basis of reported trial results, the physician has a few questions she would like to have answered, which could provide her with valu- able guidance for selecting the better therapy for this patient.

Only three of her questions will be listed here as examples: 1. “If my patient had participated in the randomized trial and had been in the group that was random- ized to receive Therapy A (see Fig. 11.9B), would he have been among those who improved (shown in blue) or would he have been among those who did not respond to Therapy A (the top white part of the bar)?”

2. “If my patient had been a participant in the random- ized trial and had been in the group that received Therapy A (see Fig. 11.9C), would he have been among those who developed side effects (shown in red) or would he have been among those who did not show any side effects from Therapy A (the top white part of the bar)?” 3. “If my patient had been a participant in the random- ized trial and had been in the group receiving Ther- apy B (see Fig.

11.9D), would he have been in the group who improved after receiving Therapy B (shown in blue) or would he have been among those Fig. 11.9 (A) Results of a hypothetical randomized trial comparing Therapy A with Therapy B. Blue areas indicate numbers of patients who benefited from each therapy, and white areas indicate those who did not respond to each therapy.

(B) Physician’s first question. (C) Physician’s second question. (D) Physician’s third question. (See explanation in text below.) CHAPTER 11 Randomized Trials: Some Further Issues who did not respond to Therapy B (the top white part of the bar)?” Unfortunately, most randomized trials do not pro- vide the information the physician would need to char- acterize an individual patient sufficiently to predict what responses her patient might have to the therapies available.

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For technical assistance: email [email protected] call 1-800-545-2522 (inside the US) call +44 1 865 844 640 (outside the US) Any screen. Any time. Anywhere. Activate the eBook version of this title at no additional charge. n. e. e. Place Peel Off Sticker Here Gordis Epidemiology This page intentionally left blank Gordis Epidemiology SEVENTH EDITION DAVID CELENTANO, ScD, MHS Dr. Charles Armstrong Chair and Professor Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore, Maryland MOYSES SZKLO, MD, MPH, DrPH University Distinguished Professor Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore, Maryland YOUSSEF M.K.

FARAG, MD, PhD, MPH Associate Faculty Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore, Maryland Elsevier 1600 John F. Kennedy Blvd. Ste 1800 Philadelphia, PA 19103-2899 GORDIS EPIDEMIOLOGY, SEVENTH EDITION ISBN: 978-0-323-87775-6 Copyright © 2025 by Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.

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