Naranjo algorithm - Revision history

196.191.249.32: /* Questionnaire */

2024-03-13T12:35:41Z

Questionnaire

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	4. Did the adverse reaction appear when the drug was ~~readministered~~?		4. Did the adverse reaction appear when the drug was re administered?

	<blockquote>		<blockquote>

Leofivethousand: copyediting of first paragraph

2023-10-09T14:53:55Z

copyediting of first paragraph

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	The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ~~ADR (~~[[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding ~~adverse drug reactions~~.		The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an [[adverse drug reaction]] (ADR) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding ADRs.

	It is often compared to the [[World Health Organization\|WHO]]-[[Uppsala Monitoring Centre\|UMC]] system for standardized causality assessment for suspected ~~adverse drug reactions (~~ADRs).		It is often compared to the [[World Health Organization\|WHO]]-[[Uppsala Monitoring Centre\|UMC]] system for standardized causality assessment for suspected ADRs.

	Empirical approaches to identifying ADRs have fallen short because of the complexity of the set of variables involved in their detection. Computer decision programs have helped in this analysis. Electronic medical record systems can be programmed to fire alerts when a potential adverse drug event is about to occur or has already occurred.[3,4] Automated adverse drug event monitors can search for [[Index term\|keywords]] or phrases throughout the patient's [[medical record]] to identify [[Pharmacotherapy\|drug therapies]], [[Medical test\|laboratory results]], or problem lists that may indicate that a patient has already been treated for an ADR. This detection method uncovers significantly more adverse events, including [[Medical error\|medication errors]], than relying only on empirical methods or incident reports.[1,2]		Empirical approaches to identifying ADRs have fallen short because of the complexity of the set of variables involved in their detection. Computer decision programs have helped in this analysis. Electronic medical record systems can be programmed to fire alerts when a potential adverse drug event is about to occur or has already occurred.[3,4] Automated adverse drug event monitors can search for [[Index term\|keywords]] or phrases throughout the patient's [[medical record]] to identify [[Pharmacotherapy\|drug therapies]], [[Medical test\|laboratory results]], or problem lists that may indicate that a patient has already been treated for an ADR. This detection method uncovers significantly more adverse events, including [[Medical error\|medication errors]], than relying only on empirical methods or incident reports.[1,2]

AmFennyFox: Changed the tone of the article regarding the efficacy of the detection method when compared to solely using empirical methods or incident reports.

2023-09-23T09:47:48Z

Changed the tone of the article regarding the efficacy of the detection method when compared to solely using empirical methods or incident reports.

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	It is often compared to the [[World Health Organization\|WHO]]-[[Uppsala Monitoring Centre\|UMC]] system for standardized causality assessment for suspected adverse drug reactions (ADRs).		It is often compared to the [[World Health Organization\|WHO]]-[[Uppsala Monitoring Centre\|UMC]] system for standardized causality assessment for suspected adverse drug reactions (ADRs).

	Empirical approaches to identifying ADRs have fallen short because of the complexity of the set of variables involved in their detection. Computer decision programs have helped in this analysis. Electronic medical record systems can be programmed to fire alerts when a potential adverse drug event is about to occur or has already occurred.[3,4] Automated adverse drug event monitors can search for [[Index term\|keywords]] or phrases throughout the patient's [[medical record]] to identify [[Pharmacotherapy\|drug therapies]], [[Medical test\|laboratory results]], or problem lists that may indicate that a patient has already been treated for an ADR. This detection method uncovers significantly more adverse events, including [[Medical error\|medication errors]], than relying on empirical methods or incident reports.[1,2]		Empirical approaches to identifying ADRs have fallen short because of the complexity of the set of variables involved in their detection. Computer decision programs have helped in this analysis. Electronic medical record systems can be programmed to fire alerts when a potential adverse drug event is about to occur or has already occurred.[3,4] Automated adverse drug event monitors can search for [[Index term\|keywords]] or phrases throughout the patient's [[medical record]] to identify [[Pharmacotherapy\|drug therapies]], [[Medical test\|laboratory results]], or problem lists that may indicate that a patient has already been treated for an ADR. This detection method uncovers significantly more adverse events, including [[Medical error\|medication errors]], than relying only on empirical methods or incident reports.[1,2]

	[[Empirical evidence\|Empirical]] methods to assess the likelihood that an ADR has taken place have been lacking. More formal, logical analysis can help differentiate between events that are attributable to a drug from those associated with underlying diseases or other factors, underlying the complexity of detection.[5]		[[Empirical evidence\|Empirical]] methods to assess the likelihood that an ADR has taken place have been lacking. More formal, logical analysis can help differentiate between events that are attributable to a drug from those associated with underlying diseases or other factors, underlying the complexity of detection.[5]

WhizoPopop at 02:27, 21 May 2023

2023-05-21T02:27:51Z

← Previous revision		Revision as of 02:27, 21 May 2023
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	{{Tone\|date=April 2023}}		{{Tone\|date=April 2023}}
	The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ADR ([[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding adverse drug reactions. ~~It is also called the Naranjo Scale or Naranjo Score.~~		The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ADR ([[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding adverse drug reactions.

	It is often compared to the [[World Health Organization\|WHO]]-[[Uppsala Monitoring Centre\|UMC]] system for standardized causality assessment for suspected adverse drug reactions (ADRs).		It is often compared to the [[World Health Organization\|WHO]]-[[Uppsala Monitoring Centre\|UMC]] system for standardized causality assessment for suspected adverse drug reactions (ADRs).

Delqa: Added {{Tone}} tag

2023-04-21T22:55:03Z

Added {{Tone}} tag

← Previous revision		Revision as of 22:55, 21 April 2023
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			{{Tone\|date=April 2023}}
	The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ADR ([[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding adverse drug reactions. It is also called the Naranjo Scale or Naranjo Score.		The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ADR ([[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding adverse drug reactions. It is also called the Naranjo Scale or Naranjo Score.

LicenceToCrenellate: Linting fix

2023-02-28T20:19:38Z

Linting fix

← Previous revision		Revision as of 20:19, 28 February 2023
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	''Yes (-1) No (+2) Do not know or not done (0)		''Yes (-1) No (+2) Do not know or not done (0)''

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Citation bot: Add: s2cid. | Use this bot. Report bugs. | Suggested by Whoop whoop pull up | Category:Drug safety | #UCB_Category 75/86

2022-10-02T03:28:21Z

Add: s2cid. | Use this bot. Report bugs. | Suggested by Whoop whoop pull up | Category:Drug safety | #UCB_Category 75/86

← Previous revision		Revision as of 03:28, 2 October 2022
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	==References==		==References==
	* {{Cite journal\|last1=Naranjo\|first1=C A\|last2=Busto\|first2=U\|last3=Sellers\|first3=E M\|last4=Sandor\|first4=P\|last5=Ruiz\|first5=I\|last6=Roberts\|first6=E A\|last7=Janecek\|first7=E\|last8=Domecq\|first8=C\|last9=Greenblatt\|first9=D J\|date=1981\|title=A method for estimating the probability of adverse drug reactions\|journal=Clinical Pharmacology and Therapeutics\|volume=30\|issue=2\|pages=239–245\|doi=10.1038/clpt.1981.154\|pmid=7249508\|issn=0009-9236}}		* {{Cite journal\|last1=Naranjo\|first1=C A\|last2=Busto\|first2=U\|last3=Sellers\|first3=E M\|last4=Sandor\|first4=P\|last5=Ruiz\|first5=I\|last6=Roberts\|first6=E A\|last7=Janecek\|first7=E\|last8=Domecq\|first8=C\|last9=Greenblatt\|first9=D J\|date=1981\|title=A method for estimating the probability of adverse drug reactions\|journal=Clinical Pharmacology and Therapeutics\|volume=30\|issue=2\|pages=239–245\|doi=10.1038/clpt.1981.154\|pmid=7249508\|s2cid=29728085 \|issn=0009-9236}}

	A*l-Tajir GK, Kelly WN. Epidemiology, comparative methods of detection, and preventability of adverse drug events. Ann Pharmacother. 2005;39:1169-1174. Abstract		A*l-Tajir GK, Kelly WN. Epidemiology, comparative methods of detection, and preventability of adverse drug events. Ann Pharmacother. 2005;39:1169-1174. Abstract

Alexsokol: /* External links */ Broken link

2022-02-13T16:10:14Z

External links: Broken link

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	==External links==		==External links==
	*[http://www.medscape.com/viewarticle/569794 Naranjo algorithm]		*[http://www.medscape.com/viewarticle/569794 Naranjo algorithm]
	*[http://farmacologiaclinica.info/scales/Naranjo_algorithm Online calculator]		*[http://farmacologiaclinica.info/scales/Naranjo_algorithm Online calculator]

	[[Category:Drug safety]]		[[Category:Drug safety]]

Rogermx: Removed underlinked tag

2021-01-28T17:54:39Z

Removed underlinked tag

← Previous revision		Revision as of 17:54, 28 January 2021
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	{{Underlinked\|date=July 2019}}

	The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ADR ([[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding adverse drug reactions. It is also called the Naranjo Scale or Naranjo Score.		The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ADR ([[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding adverse drug reactions. It is also called the Naranjo Scale or Naranjo Score.

Wikiacc: unwarranted removal of maintenance template

2021-01-20T01:25:52Z

unwarranted removal of maintenance template

← Previous revision		Revision as of 01:25, 20 January 2021
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			{{Underlinked\|date=July 2019}}


	The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ADR ([[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding adverse drug reactions. It is also called the Naranjo Scale or Naranjo Score.		The '''Naranjo algorithm''', '''Naranjo Scale''', or '''Naranjo Nomogram''' is a questionnaire designed by Naranjo ''et al.'' for determining the likelihood of whether an ADR ([[adverse drug reaction]]) is actually due to the [[drug]] rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful. Values obtained from this algorithm are often used in peer reviews to verify the validity of author's conclusions regarding adverse drug reactions. It is also called the Naranjo Scale or Naranjo Score.

← Previous revision		Revision as of 09:47, 23 September 2023
Line 4:		Line 4:
	It is often compared to the [[World Health Organization\|WHO]]-[[Uppsala Monitoring Centre\|UMC]] system for standardized causality assessment for suspected adverse drug reactions (ADRs).		It is often compared to the [[World Health Organization\|WHO]]-[[Uppsala Monitoring Centre\|UMC]] system for standardized causality assessment for suspected adverse drug reactions (ADRs).

	Empirical approaches to identifying ADRs have fallen short because of the complexity of the set of variables involved in their detection. Computer decision programs have helped in this analysis. Electronic medical record systems can be programmed to fire alerts when a potential adverse drug event is about to occur or has already occurred.[3,4] Automated adverse drug event monitors can search for [[Index term\|keywords]] or phrases throughout the patient's [[medical record]] to identify [[Pharmacotherapy\|drug therapies]], [[Medical test\|laboratory results]], or problem lists that may indicate that a patient has already been treated for an ADR. This detection method uncovers significantly more adverse events, including [[Medical error\|medication errors]], than relying on empirical methods or incident reports.[1,2]		Empirical approaches to identifying ADRs have fallen short because of the complexity of the set of variables involved in their detection. Computer decision programs have helped in this analysis. Electronic medical record systems can be programmed to fire alerts when a potential adverse drug event is about to occur or has already occurred.[3,4] Automated adverse drug event monitors can search for [[Index term\|keywords]] or phrases throughout the patient's [[medical record]] to identify [[Pharmacotherapy\|drug therapies]], [[Medical test\|laboratory results]], or problem lists that may indicate that a patient has already been treated for an ADR. This detection method uncovers significantly more adverse events, including [[Medical error\|medication errors]], than relying only on empirical methods or incident reports.[1,2]

	[[Empirical evidence\|Empirical]] methods to assess the likelihood that an ADR has taken place have been lacking. More formal, logical analysis can help differentiate between events that are attributable to a drug from those associated with underlying diseases or other factors, underlying the complexity of detection.[5]		[[Empirical evidence\|Empirical]] methods to assess the likelihood that an ADR has taken place have been lacking. More formal, logical analysis can help differentiate between events that are attributable to a drug from those associated with underlying diseases or other factors, underlying the complexity of detection.[5]