Evidence map›Paper›PMID 35855721›Full record

ArticleMedical journal, Armed Forces India2022

Post-graduate training in Laboratory Medicine: Potential to fill a crucial gap in Indian healthcare system.

Tapasyapreeti Mukhopadhyay, Sudhanshu Shekhar, Arijit Sen

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Laboratory diagnostics: A quintessential service.Medical journal, Armed Forces India · 2022
    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

3 authors.

Tapasyapreeti MukhopadhyayAssistant Professor (Laboratory Medicine), AIIMS, New Delhi, India.
Sudhanshu ShekharAssistant Professor (Pathology & Lab Medicine), AIIMS Kalyani, West Bengal, India.
Arijit SenProfessor & Head, Department of Pathology, Armed Forces Medical College, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality Laboratory services with a widespread reach is the core of a healthcare system of the country. Diagnostic services at all levels requires technical expertise of different laboratory specialists. However the presence of all specialist together in one setup is always not possible due to limited number of trained manpower. Even today, diagnostic laboratory services remain unsupervised. To void this gap, All India Institute of Medical Sciences (AIIMS) New Delhi, in 1988, opened up the patient-centric department of Laboratory Medicine with a centralised specimen collection centre and a core laboratory performing the majority of the routine laboratory investigations, offering a one-window solution to both patients and clinicians. In 1997, a three-year postgraduate Masters degree (MD) in Laboratory Medicine was started. This medical specialty encompasses the art of test selection, test operation, and test interpretation to manage patients. It aligns with the recent technological advancement of automation and advanced instrumentation that are breaking boundaries of the traditional medical laboratories of pathology, biochemistry, and microbiology. This postgraduate model ensures that the laboratory services are accessible, affordable, and available to both patients and clinicians without compromising quality care. Laboratory Medicine is emerging as an answer to one of the several inadequacies and pitfalls of the Indian health system.

Indexed as

BiochemistryHealth care facilitiesLaboratory automationMicrobiologyPathology

Identifiers

PMID35855721
PMCPMC9287663

What OpenQuestion holds

Textmetadata
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.