Evidence map›Paper›PMID 41607957›Full record

ArticleCureus2025

Infectious Serology in Total Laboratory Automation: Fit or Unfit.

Suneeta Meena

Abstract readEditorial
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Suneeta MeenaInfectious Disease, All India Institute of Medical Sciences, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several parameters of infectious serology are increasingly being incorporated into workflows of total laboratory automation (TLA). Infectious serology is not a well-defined field, with each parameter having its own requirement for reporting. The unavailability of uniform international standards further complicates quality control (QC). Infectious serology in total laboratory automation offers opportunities like integration of laboratory services, auto-verification, re-run, and reflex add-on testing. But questionable application of standard QC procedures like Westgard rules, unavailability of international standards, biological variability of pathogens, and host immune response remain challenges that require urgent solutions.

Indexed as

cliaelisainfectious serologyquality controlstandardizationtotal laboratory automation

Identifiers

PMID41607957
PMCPMC12834669

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.