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<Article>
<Journal>
				<PublisherName>Baqiyatallah University of Medical Sciences</PublisherName>
				<JournalTitle>Hospital Practices and Research</JournalTitle>
				<Issn>2476-390X</Issn>
				<Volume>11</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>On Where, and Whether, the Sex Difference Disappears: Denominators and Conditioning in the Timing of ICU Treatment-Limitation Decisions</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>847</FirstPage>
			<LastPage>850</LastPage>
			<ELocationID EIdType="pii">248291</ELocationID>
			
<ELocationID EIdType="doi">10.30491/hpr.2026.248291</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mostafa</FirstName>
					<LastName>Akbariqomi</LastName>
<Affiliation>Tissue Engineering and Regenerative Medicine Research Center, New Health Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-3533-2393</Identifier>

</Author>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Vahedian-Azimi</LastName>
<Affiliation>Nursing Care Research Center, Clinical Sciences Institute, Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-1678-7608</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>06</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>Amacher and colleagues have assembled a dataset and posed exactly the right question: not merely whether women and men differ in how often life-sustaining therapy is curtailed, but when along the care pathway that divergence takes shape. Their headline finding is elegant in its symmetry. A pronounced female excess at admission (adjusted odds ratio 1.26, 95% CI 1.24–1.28) gives way, they report, to parity once treatment is under way, the during-stay rates standing at “5.5% versus 5.5%.” From this they infer that decisions grow more even-handed as objective clinical information accrues. We admire the study but believe two linked problems undermine that inference. The first is arithmetical and present on the face of Table 1; the second is structural and inheres in the staged design itself. Both deserve closer scrutiny than they have so far received.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Sex Difference</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Intensive Care Unit</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Treatment-Limitation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.jhpr.ir/article_248291_91506e6c0cd6dd5de3a4032b7d4d6853.pdf</ArchiveCopySource>
</Article>
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