Evidence map›Paper›PMID 40586701›Full record

ArticleEuropean journal of psychotraumatology2025

Prevalence rates of prolonged grief disorder are overestimated.

Maarten C Eisma

Abstract read
In one paragraph

Article in European journal of psychotraumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. The Aarhus bereavement study (TABstudy).European journal of epidemiology · 2026
    Article
  4. Article
  5. Article
  6. Article
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

1 author.

Maarten C EismaDepartment of Clinical Psychology and Experimental Psychopathology, Faculty of Behavioral and Social Sciences, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-6109-2274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prolonged grief disorder (PGD) has been included in the International Classification of Diseases 11th edition (ICD-11) and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR). Accurate assessment of the prevalence of PGD is imperative to healthcare policy and practice. Systematic reviews and meta-analyses of at-risk bereaved subgroups (e.g. those bereaved by natural disasters, unnatural causes, and COVID-19) yield very high prevalence rates (24-87%). These findings appear at odds with the well-established finding that most people respond to major negative life events resiliently. This letter explores two potential explanations for overestimated prevalence rates of PGD. First, non-probability sampling, typical to research in vulnerable bereaved subgroups, leads to overestimation of prevalence rates of PGD relative to probability sampling. Secondly, based on epidemiological research in depression and post-traumatic stress disorder, we consider the risk that the use of self-report scales, typical to grief research, may lead to overestimation of prevalence rates compared to clinical interviewing. We recommend international research, based on probability sampling, that systematically assesses loss characteristics and circumstances as well as ICD-11 and DSM-5-TR PGD symptoms, using validated scales, and, ideally, clinical interviewing in a subset of participants, to enable more accurate assessment of prevalence rates of PGD in different bereaved populations.

Indexed as

GriefProlonged Grief DisorderCOVID-19Diagnostic and Statistical Manual of Mental DisordersHumansPrevalenceStress Disorders, Post-Traumaticbereavementclinical interviewcomplicated griefdueloduelo complicadoentrevista clínicaGriefLutoscreening

Identifiers

PMID40586701
PMCPMC12210396

What OpenQuestion holds

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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.