Clinical problem-solving. A little math helps the medicine go down.
Kopelman
R I
RI
Department of Medicine, New England Medical Center, Tufts University School of Medicine, Boston, MA 02111, USA.
Wong
J B
JB
Pauker
S G
SG
D000328:Adult; D000995:Antitubercular Agents / Q000009:adverse effects / Q000627:therapeutic use; D001499:Bayes Theorem; D003362:Cost-Benefit Analysis; D003937:Diagnosis, Differential; D005221:Fatigue / Q000209:etiology; D005334:Fever / Q000209:etiology*; D005938:Glucocorticoids / Q000009:adverse effects / Q000627:therapeutic use; D006801:Humans; D007538:Isoniazid / Q000009:adverse effects / Q000627:therapeutic use; D008168:Lung / Q000000981:diagnostic imaging; D008297:Male; D007703:Peptidyl-Dipeptidase A / Q000097:blood; D011241:Prednisone / Q000009:adverse effects / Q000627:therapeutic use; D011859:Radiography; D017565:Sarcoidosis, Pulmonary / Q000150:complications / Q000175:diagnosis* / Q000188:drug therapy; D014374:Tuberculin Test; D014397:Tuberculosis, Pulmonary / Q000175:diagnosis* / Q000188:drug therapy
D000995:Antitubercular Agents; D005938:Glucocorticoids; D007703:Peptidyl-Dipeptidase A; D007538:Isoniazid; D011241:Prednisone