Evidence map›Paper›PMID 40497172›Full record

ArticleCureus2025

Bringing Attention to a Forgotten Age Group: A Discussion on Late-Onset Bipolar Disorder.

Sanyukta Savant, Krishna Geeth Chirumamilla, Luba Leontieva

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. 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.

Sanyukta SavantMedicine, Independent Research, Somerville, USA.
Krishna Geeth ChirumamillaPsychiatry, State University of New York Upstate Medical University, Syracuse, USA.
Luba LeontievaPsychiatry, State University of New York Upstate Medical University, Syracuse, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affecting millions worldwide, bipolar disorder is a chronic condition most commonly diagnosed before the age of 50. However, diagnosing bipolar disorder beyond this age bracket presents unique challenges and is referred to as late-onset bipolar disorder. Due to the limited availability of data, this diagnosis remains complex. Although several efforts have been made to understand the impact of age of onset and neurologic etiologies on the condition, extensive research on this subject is unavailable, which will definitely facilitate enhancing services to this group. We present the case of a 75-year-old male with a past psychiatric history of late-onset bipolar disorder, anxiety, depression, and a historical diagnosis of obsessive-compulsive personality disorder. He was first diagnosed with bipolar I disorder in his 60s following a manic episode by his primary care physician. His condition was subsequently managed with lamotrigine 100 mg daily and olanzapine 2.5 mg daily. No prior hospitalizations for mania or any other psychiatric etiology were noted. During this admission to the hospital, the patient presented with symptoms of mania and paranoia and was difficult to redirect. He exhibited signs of distractibility, tangentiality, pressured speech with increased pace, flight of ideas, and reduced need for sleep. This case helps highlight the variability in presentation of bipolar disorder in older adults, unexplained by other organic causes, and its successful management. It also instigates a discussion about limited data and guidelines in this age group.

Indexed as

atypical anti-psychoticbipolar affective disorderbipolar disorder- 1depressive episodegeriatric psychiatric perspectivelate-onset bipolar disordermanic episodesolder-age bipolar disorderunspecified bipolar disorder

Identifiers

PMID40497172
PMCPMC12151312

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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.