Evidence map›Paper›PMID 26500996›Full record

ArticleJournal of clinical and diagnostic research : JCDR2015

Identifying the Factors Causing Delayed Presentation of Cancer Patients to a Government Medical College of Central India.

Vivek Tiwari, Veenita Yogi, Hameed Uzzafar Ghori, Om Prakash Singh, Karan Peepre, Suresh Yadav, Chaitlal Mohare

Abstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Observational
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  7. Patient Characteristics and Outcomes in Necrotizing Soft-tissue Infections: Results from a Prospective Cohort Study in a Tertiary Care Center Intensive Care Unit in South India.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
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  10. Epidemiology, Clinical Characteristics, and Prognostic Factors in Critically Ill Patients with Hematolymphoid Malignancy.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
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  14. Influence of Health-Seeking Behavior on Treatment Initiation of Cancer Patients at a Tertiary Care Hospital in Varanasi.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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  15. Missed Opportunities in Early Diagnosis of Head and Neck Cancer in Patients in Tamil Nadu - A Mixed Method Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

7 authors.

Vivek TiwariAssistant Professor, Department of Radiation Oncology, Gandhi Medical College , Bhopal, India .
Veenita YogiAssistant Professor, Department of Radiation Oncology, Gandhi Medical College , Bhopal, India .
Hameed Uzzafar GhoriAssociate Professor, Department of Radiation Oncology, Gandhi Medical College , Bhopal, India .
Om Prakash SinghProfessor and Head, Department of Radiation Oncology, Gandhi Medical College , Bhopal, India .
Karan PeepreProfessor, Department of Radiation Oncology, Gandhi Medical College , Bhopal, India .
Suresh YadavMedical Physicist, Department of Radiation Oncology, Gandhi Medical College , Bhopal, India .
Chaitlal MohareScientific Officer, Department of Radiation Oncology, Gandhi Medical College , Bhopal, India .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of cancer is increasing throughout the world. One of the prime aims of its management is early diagnosis and therapeutic intervention. Factors causing delay to either of these goals should be identified and rectified.

aimTo identify the factors causing delayed initial diagnosis and subsequent management in patients presenting to the Oncology department. MATERIALS AND

methodsThree hundred proven cancer patients were prospectively evaluated for the pattern of presentation to the outpatient Department of Radiation Oncology of a Government Medical College (MC) in Central India.

resultsThe mean age of presentation was 51.05 years (range 7 months-77 years). The number of male patients was 168 while females were 132. The duration of symptoms ranged from 20 days to 3 years. The number of patients with little/no education presented mainly in advanced stages as compared to their educated counterpart and this difference was statistically significant (p<0.001). The number of patients presenting directly to the department was 108, those diagnosed outside and referred to us was 84 while those diagnosed and received some form of oncologic treatment outside and referred thereafter was 108. The difference in the primary delay between patients presenting directly to the MC versus those diagnosed outside was significant (p=0.0126). The mean duration of starting definitive treatment after presentation to the outpatient was 4.68 days (range 0-22 days) and was very significantly (p< 0.001) less than the secondary delays caused to the other two subsets of patients.

conclusionFactors causing delayed presentation are both patient and system related. It is imperative to educate the common people regarding the early signs and symptoms of cancer. At the same time, the system needs to overhaul its efficiency to avoid secondary delays that adversely affect the treatment outcome. An upgradation of the existing oncology facilities in the public sector can achieve this target efficiently.

Indexed as

Cancer treatmentclinician delayPrimary delayTreatment delay

Identifiers

PMID26500996
PMCPMC4606325

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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.