Evidence map›Paper›PMID 35345361›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2022

Study of Diagnostic Delay among Symptomatic Breast Cancer Patients in Northern India: A Mixed-Methods Analysis from a Dedicated Breast Cancer Centre.

Ankit Rai, Prateek Sharda, Pradeep Aggarwal, Bina Ravi

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Ankit RaiJunior Resident, General Surgery, All India Institute of Medical Sciences (AIIMS), Rishikesh, India.
Prateek ShardaIntegrated Breast Care Centre (IBCC), All India Institute of Medical Sciences (AIIMS), Rishikesh, India.ORCID 0000-0002-9682-675X
Pradeep AggarwalCommunity and Family Medicine, All India Institute of Medical Sciences (AIIMS), Rishikesh, India.
Bina RaviIntegrated Breast Care Centre (IBCC), All India Institute of Medical Sciences (AIIMS), Rishikesh, India.ORCID 0000-0001-8894-6674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe conducted this study to understand the factors that contribute to the delay in diagnosis of symptomatic breast cancer patients. METHODOLOGY: We did a prospective analytical study with both quantitative and qualitative components over 14 months. The total delay in diagnosis of breast cancer from first symptom onset was defined as diagnostic delay. Presentation delay was defined as the time duration between the first symptom and the first visit to a health care provider. Provider delay was defined as the time duration between the presentation to a health care provider and the final diagnosis. Three hundred female breast cancer patients with a diagnostic delay of at least 3 months were interviewed using a pre-tested semi-structured questionnaire.

resultsWe found that more than 50% of patients with delayed presentation were between 30-50 years of age. Painless breast lump was the most common initial symptom. More than 70% of patients presented with locally advanced and metastatic disease. The patient-related delay was more common than provider delay. Breast cancer awareness (p = 0.040) and reasons for delay (p = 0.014) were found to significantly influence the delay. More than 70% of patients reported their symptoms to male members of their families.

conclusionBreast cancer awareness is the single most important determinant influencing diagnostic delay among symptomatic patients.

Indexed as

Breast NeoplasmsDelayed DiagnosisAdultFemaleHumansIndiaMaleMiddle AgedPatient Acceptance of Health CareProspective StudiesTime Factorsbreast cancerdelayDiagnosis

Identifiers

PMID35345361
PMCPMC9360965

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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.