Evidence map›Paper›PMID 33253251›Full record

ArticlePloS one2020

Disentangling comorbidity in chronic pain: A study in primary health care settings from India.

Geetha Desai, Jaisoorya T S, Sunil Kumar G, Manoj L, Gokul G R, Aakash Bajaj, Thennarasu K, Santosh K Chaturvedi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Assessing and Managing Pain in Dementias: Insights From Interdisciplinary Text Message Communications.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2025
    Article
  5. Article
  6. Article
  7. The Locus Coeruleus in Chronic Pain.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

8 authors at 1 institution in 1 country.

Geetha DesaiDepartment of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Jaisoorya T SDepartment of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.ORCID 0000-0003-0322-9209
Sunil Kumar GNational Health Mission (Kerala), Thiruvananthapuram, India.
Manoj LNational Health Mission (Kerala), Thiruvananthapuram, India.
Gokul G RNational Health Mission (Kerala), Thiruvananthapuram, India.
Aakash BajajDepartment of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Thennarasu KDepartment of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
Santosh K ChaturvediDepartment of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
National Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study examined the prevalence, sociodemographic, and clinical correlates of chronic pain among primary care patients in the state of Kerala, India. It also examined the patterns and relationships of chronic physical and mental health conditions with chronic pain.

methodsThis study is a cross-sectional survey conducted among 7165 adult patients selected randomly by a multi-stage stratified design from 71 primary health centers. The questionnaires administered included Chronic pain screening questionnaire, self-reported Chronic physical health condition checklist, Patient Health Questionnaire-SADS, The Alcohol Use Disorders Identification Test, Fagerström Test for Nicotine Dependence, WHO Disability Assessment Schedule and WHOQOL- BREF for Quality/Satisfaction with Life. The prevalence and comorbid patterns of chronic pain were determined. Logistic regression analysis and generalized linear mixed-effects model was employed to examine the relationship of chronic pain to socio-demographic variables and examined physical and mental health conditions.

resultsA total of 1831 (27%) patients reported chronic pain. Among those with chronic pain, 28.3% reported no co-occurring chronic mental or physical illness, 35.3% reported one, and 36.3% reported multi-morbidity. In the multivariate analysis, patients with chronic pain when compared to those without had higher odds of being older, female, having lower education, not living with their family, greater disability, and poor satisfaction with life. Chronic pain was independently associated with both medical (hypertension, diabetes mellitus, tuberculosis, arthritis, and other medical illnesses) and mental health conditions (depressive disorders, anxiety disorders, and tobacco dependence). It showed a varying strength of association and additive effect with increasing number of co-occurring physical and mental illnesses.

conclusionsChronic pain is a common condition among primary care attendees associated with significant burden of medical and mental health comorbidity. The findings highlight the need to incorporate treatment models that will ensure appropriate management to improve outcomes within the resource constraints.

Indexed as

ComorbidityAdultAnxiety DisordersChronic DiseaseChronic PainDiabetes MellitusFemaleHumansHypertensionIndiaMaleMental HealthMiddle AgedPatient Health QuestionnairePrimary Health CareSelf Report

Identifiers

PMID33253251
PMCPMC7703899
OpenAlexW3108427840

What OpenQuestion 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 OpenQuestion graph.