Evidence map›Paper›PMID 40491889›Full record

ArticleWorld journal of critical care medicine2025

Transformative impact of point-of-care testing in critical care.

Pradeep K Dabla, Aashima Dabas

Abstract readEditorial
In one paragraph

Article in World journal of critical care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Emerging point-of-care technologies for bacterial pathogen detection.Journal of Zhejiang University. Science. B · 2026
    Review
  3. Review
  4. 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

2 authors.

Pradeep K DablaDepartment of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Education and Research, Associated Maulana Azad Medical College, New Delhi 110002, Delhi, India. pradeep_dabla@yahoo.com.
Aashima DabasDepartment of Pediatrics, Maulana Azad Medical College and associated Lok Nayak Hospital, New Delhi 110002, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of point-of-care testing (POCT) has revolutionized the approach to patient management, especially for pediatric care. POCT provides rapid, on-the-spot biochemical and microbiological evaluations, bypassing delays typically associated with central laboratory testing, enabling swift clinical decision-making. Additionally, POCT has proven to be a valuable prognostic tool for monitoring electrolyte, lactate, creatinine levels, often a marker of severe illness and poor outcomes. POCT enables its faster identification, allowing for prompt interventions. This capability is essential in managing conditions like sepsis, where timely treatment can significantly impact survival rates. However, the implementation of POCT is not without its challenges. Variability in sample handling, particularly with heparinized syringes, can affect the accuracy of certain measurements, such as potassium levels. The absence of comprehensive follow-up data and cost-effectiveness analyses in some studies indicate the need for continued research to optimize the use of POCT. In conclusion, POCT is a transformative tool in critical care, offering prompt and reliable assessments that significantly enhance patient management. As technology advances, the integration of POCT into emergency departments and intensive critical care units holds great promise for improving the quality of healthcare and patient survival rates.

Indexed as

Artificial intelligenceCritical careEmergency departmentsIntensive care unitPediatric carePoint-of-care testing

Identifiers

PMID40491889
PMCPMC11891844

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.