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Find studies

Showing 51–75 of 369 studies · free to read (page 3 of 15) · 30,580 in the whole library · How the 0–100 score works

Download bibliography of these 369 studies, in this order: BibTeX (.bib) · RIS (.ris)

Showing 369 studies tagged mortality — clear

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

Delirium is an important independent prognostic determinant of hospital outcomes including new nursing home placement, death or new nursing home placement, and functional decline-even after controlling for age, gender, dementia, illness severity, and functional status. 3 key findings →

Design: cohort study Participants: 727 Evidence: moderate

We developed machine learning prediction models for post-operative delirium that performed better than chance and are comparable with traditional stepwise logistic regression. 1 key finding →

Design: cohort study Participants: 134 Evidence: moderate

The heterogeneous patterns and severity of conditions produce distinctive cumulative effects for each individual.5 Multimorbidity is associated with many adverse consequences, including death, disability, institutionalization, greater use of healthcare resources, poorer quality of life, and higher rates of adverse effects of treatment or interventions.1 Comprehensive strategies for healthcare delivery that are not disease specific, as well as interventions that target geriatric syndromes common in older adults with multimorbidity, show promise for this population,5-9 although the best approaches to decision-making and clinical management of older adults with multimorbidity remain unclear. 5 key findings →

Design: systematic review Evidence: high

For the last 17 years, an increase of mortality for patients with hip fracture and a higher mortality rate in men than in women were observed. 5 key findings →

Design: cohort study Participants: 3,992 Evidence: moderate

Two longitudinal studies with different populations demonstrated that loneliness was a risk factor for the development of the pain, depression, and fatigue symptom cluster over time. 4 key findings →

Design: longitudinal study Participants: 115 Evidence: moderate

Fifty-one studies from 16 States of India were included as 56 datasets, which estimated the prevalence of depression among Indian elderly population as 34.4% (95% CI: 29.3-39.7). 1 key finding →

Design: systematic review Evidence: high

Clinicians treating people with a hip fracture should be vigilant towards post-operative delirium if their patients are older, have pre-existing cognitive impairment and poorer overall general health. 4 key findings →

Participants: 6,704 Evidence: low

Severe psoriasis is associated with an increased risk of death from a variety of causes, with cardiovascular death being the most common aetiology. 4 key findings →

Design: cohort study Participants: 3,603 Evidence: moderate

In those aged 65 years or older, delirium was overall associated (all p<0·001, age and sex adjusted) with dementia ( adj OR 3·63 [95% CI 2·65–4·98]), pre-admission dependency (2·63 [2·02–3·43]), comorbidity burden (1·04 [1·02–1·05]), and frailty (moderate vs low risk 3·62 [2·70–4·85] and high vs low risk 11·85 [7·24–19·42]), with stronger associations in patients without comorbid dementia than in those with comorbid dementia. 4 key findings →

Design: longitudinal study Participants: 290 Evidence: moderate

At the beginning of June 2020, there were nearly 7 million reported cases of coronavirus disease 2019 (COVID-19) worldwide and over 400,000 deaths in people with COVID-19. 1 key finding →

Design: cohort study Evidence: moderate

Understanding the mental health consequences of child maltreatment at different life stages is important in accurately quantifying the burden of maltreatment. 4 key findings →

Design: cohort study Participants: 56,082 Evidence: moderate

A total of 1780 major operations (representing 9 556 171 survey-weighted operations nationally) were identified from 1477 community-living participants; mean (SD) age was 79.5 (7.0) years, with 56% being female. 5 key findings →

Design: cohort study Participants: 1,780 Evidence: moderate

Risk of Continued Institutionalization After Hospitalization in Older Adults

✓ Peer-reviewed alzhub usefulness score 62 out of 100. The Journals of Gerontology Series A 2011-10-03

From 1996 through 2008, 5.55% of hospitalized patients resided in a nursing home 6 months later compared with 0.54% of nonhospitalized control patients. 5 key findings →

Design: retrospective cohort Participants: 762,243 Evidence: moderate

Delirium and adverse clinical outcomes: a matched cohort study in the UK Biobank

✓ Peer-reviewed alzhub usefulness score 62 out of 100. The Lancet Healthy Longevity 2026-01-01

Over a maximum follow-up of 26 years, the median time to event was 1·2 years (IQR 0·2-3·3) in the delirium group and 1·3 years (0·3-3·6) in the control group. 5 key findings →

Design: cohort study Participants: 909 Evidence: moderate

Out of 929 patients, 184 (20%) experienced POD. 5 key findings →

Design: cohort study Participants: 929 Evidence: moderate

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Where “Free full text” comes from

Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled.

How the 0–100 score works — and why some entries are capped

This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.

Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.

We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.

The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.

See the whole rubric drawn out → — four charts covering all 30,580 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 30,580 records, built mostly from automated pulls of Europe PMC (64.7% of the library) and OpenAlex (16.6%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.

1,037 records (3.4% of the library) are not peer-reviewed — 964 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.

See the full, machine-readable breakdown of this library's coverage →

Newest studies, as a dated timeline →    Atom feed    Where this research is being discussed: events