Evidence map›Paper›PMID 42502574›Full record

ArticleAmerican sociological review2026

Temporal Misalignment and Unequal Agency: What Terminal Cancer Patients Teach Us about Time and Inequality.

Zhuofan Li, Daniel Dohan, Corey M Abramson

Abstract read
In one paragraph

Article in American sociological review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Daniel DohanUniversity of California, San Francisco.ORCID https://orcid.org/0000-0002-7052-1288
Corey M AbramsonRice University.ORCID https://orcid.org/0000-0001-6306-6910

Funding

Next-Gen ethnography to understand decision-making among diverse populations impacted by Alzheimer'sdisease and related dementias (ADRD)DP1AG069809 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DOHAN, DANIEL P. · 2020 to 2025
$4.0M
Before Consent: Cancer Patients' Deliberations about Early Phase Clinical TrialsR01CA152195 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DOHAN, DANIEL P. · 2010 to 2014
$2.6M
NCI NIH HHS R01 CA152195NIA NIH HHS DP1 AG069809
6 · The paper itself

Abstract

This article examines how time both exacerbates and destabilizes existing inequality by stratifying agency. Drawing on five years of fieldwork in nine cancer clinics and 196 in-depth interviews with 96 patients navigating a terminal cancer diagnosis toward the end of life, we show the centrality of "temporal misalignment"-a mismatch between the temporalities enacted by individual actions and those imposed by institutional contexts structuring when and how action is possible. A combination of ethnographic data and multiple correspondence analysis (MCA) reveals how effective use of resources requires cancer patients to (1) triage conflicting demands of treatment, work, family, and bureaucratic schedules; (2) reconcile mismatched trajectories of disease progression and healthcare institutions; and (3) anchor uncertain decisions at present in an anticipatable future. These efforts to manage temporal misalignment not only reproduce resource disparities, but also create new, imminent, and often embodied constraints on agency that even the most advantaged patients find resource-draining and goal-displacing as the disease progresses. Reconceptualizing time as a ruptured relationship between agency and contexts offers important sociological insights into how resources, institutions, and culture operate and intertwine to shape inequality in healthcare and beyond.

Indexed as

cultureinequalitymedicinemixed methodstemporality

Identifiers

PMID42502574
PMCPMC13401458

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.