Evidence map›Paper›PMID 39483691›Full record

ArticleActa medica Philippina2023

Mapping the Journey of Patients with Painful Diabetic Peripheral Neuropathy in the Philippines.

Rosalina B Espiritu-Picar, Bien J Matawaran, Jermaine M Lim, Priyan Ratnasingham

Abstract read
In one paragraph

Article in Acta medica Philippina, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Rosalina B Espiritu-PicarSection of Neurology, Department of Neurosciences, Makati Medical Center, Philippines.
Bien J MatawaranSection of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Santo Tomas Hospital, Philippines.
Jermaine M LimMedical Affairs, Viatris, Philippines.
Priyan RatnasinghamFormer employee, Medical Affairs, Viatris, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Knowing the limited epidemiological studies on painful diabetic peripheral neuropathy (pDPN) in the Philippines, the present review aimed to map the prevalence of pDPN and identify the associated healthcare gaps. Materials and Methods: A systematic search of MEDLINE, Embase and BIOSIS was conducted using predefined inclusion criteria, and relevant studies published in English between 2004 and 2021 were identified. An unstructured literature search was also conducted on public and government websites with no date restriction. Data combined from all sources were synthesized and presented as a simple mean. Results: Three studies were considered for final analyses of the 26 articles retrieved from structured and unstructured searches. The sample sizes for the three studies were 103, 172, and 100, respectively. The simple mean prevalence of pDPN was estimated at 26.5%. Awareness of pDPN based on a published study was 89%. According to published studies, screening and diagnosis of pDPN were 65% and 76.7%, respectively. One-third of the patients with pDPN (75%) were treated. No literature is available for adherence and control. Conclusion: Limited data exist on the different management stages of patients with pDPN in the Philippines. The study analysis will help address the knowledge gaps, improve patient care and pain management, and aid decision making.

Indexed as

diabetes mellituspainful diabetic peripheral neuropathypatient journeyPhilippines

Identifiers

PMID39483691
PMCPMC11522588

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.