Evidence mapPaperPMID 39212987Full record

ArticleJAMA network open2024

Cognitive Trajectories in Older Adults Diagnosed With Hematologic Malignant Neoplasms.

Li-Wen Huang, Ying Shi, W John Boscardin, Michael A Steinman

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

4 authors.

Li-Wen HuangDivision of Hematology/Oncology, Department of Medicine, San Francisco Veterans Affairs Medical Center, California.
Ying ShiDivision of Geriatrics, University of California San Francisco.
W John BoscardinDivision of Geriatrics, University of California San Francisco.
Michael A SteinmanDivision of Geriatrics, University of California San Francisco.

Funding

Health and Retirement Study: Yrs 35-40U01AG009740 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 1990 to 2025
$96.8M
Integrating Information about Aging Surveys: Novel Integration of Contextual Data to Study Late-Life Cognition and Alzheimer’s Disease and Related Dementia and Dementia CareR01AG030153 · UNIVERSITY OF SOUTHERN CALIFORNIA · 2025 to 2025
$4.8M
UCSF Older Americans Independence CenterP30AG044281 · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2025 to 2025
$1.5M
Prescribing cascades in older adults with and without dementiaK24AG049057 · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2025 to 2025
$178k
NIA NIH HHS K24 AG049057NIA NIH HHS P30 AG044281NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS R03 AG067935NIA NIH HHS RC2 AG036619NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

Importance: More people are surviving long-term after diagnosis with hematologic malignant neoplasm (HMN), yet there are limited data on cancer-related cognitive impairment in people with HMN. Better understanding cognitive outcomes after HMN in older adults is important for patient counseling and management. Objective: To model cognitive trajectories and rates of cognitive decline before and after HMN diagnosis in older adults compared with a matched noncancer cohort. Design, Setting, and Participants: In this population-based cohort study, older adults from the Health and Retirement Study (HRS) diagnosed with HMN between 1998 and 2016 after age 65 years were matched 1:3 to participants without cancer from the same HRS wave using propensity scores incorporating variables relevant to cognition. Cognitive trajectories were modeled with piecewise linear splines, and rates of cognitive decline before, during, and after diagnosis were compared in the 2 groups. Data were analyzed from April 2022 to April 2024. Exposures: HMN diagnosis by Medicare diagnosis codes. Main Outcomes and Measures: Cognitive function was assessed by the Langa-Weir cognitive summary score from 1992 to 2020. Sociodemographic and health-related variables relevant to cognition were incorporated into propensity scores. Results: At baseline, there were 668 participants in the HMN cohort (mean [SD] age, 76.8 [7.6] years; 343 [51.3%] male; 72 [10.8%] Black, 33 [4.9%] Hispanic, and 585 [87.6%] White) and 1994 participants in the control cohort (mean [SD] age, 76.5 [7.3] years; 1020 [51.2%] male; 226 [11.3%] Black, 91 [4.6%] Hispanic, and 1726 [86.6%] White). The HMN cohort consisted predominantly of more indolent diagnoses, and only 96 patients (14.4%) received chemotherapy. Before and in the 2 years around the time of diagnosis, the HMN and control cohorts had similar rates of cognitive decline. At 1 year postdiagnosis and beyond, the rate of cognitive decline was slower in the HMN cohort (-0.18; 95% CI, -0.23 to -0.14) than in the control group (-0.24; 95% CI, -0.26 to -0.23) (P = .02), but this difference was no longer significant after accounting for the competing risk of death (HMN group, -0.27; 95% CI, -0.34 to -0.19; control group, -0.30; 95% CI, -0.33 to -0.27; P = .48). Conclusions and Relevance: In this cohort study of older adults, the HMN and matched noncancer control cohorts had similar rates of cognitive decline before, during, and after diagnosis after accounting for the competing risk of death.

Indexed as

Cognitive DysfunctionHematologic NeoplasmsAgedAged, 80 and overCognitionCohort StudiesFemaleHumansMaleUnited States

Identifiers

PMID39212987
PMCPMC11365001

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.