Evidence map›Paper›PMID 34140833›Full record

ArticleBiochemia medica2021

The rise in preanalytical errors during COVID-19 pandemic.

Tapasyapreeti Mukhopadhyay, Arulselvi Subramanian, Shivam Pandey, Nirupam Madaan, Anjan Trikha, Rajesh Malhotra

Abstract read
In one paragraph

Article in Biochemia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

6 authors.

Tapasyapreeti MukhopadhyayDepartment of Laboratory Medicine, Jai Prakash Narayan Apex Trauma Centre, All India Institute Medical Sciences, New Delhi, India.
Arulselvi SubramanianDepartment of Laboratory Medicine, Jai Prakash Narayan Apex Trauma Centre, All India Institute Medical Sciences, New Delhi, India.
Shivam PandeyDepartment of Biostatistics, All India Institute Medical Sciences, New Delhi, India.
Nirupam MadaanHospital Administration, Jai Prakash Narayan Apex Trauma Centre, All India Institute Medical Sciences, New Delhi, India.
Anjan TrikhaDepartment of Anaesthesis and Critical care, Jai Prakash Narayan Apex Trauma Centre, All India Institute Medical Sciences, New Delhi, India.
Rajesh MalhotraDepartment of Orthopedics, Jai Prakash Narayan Apex Trauma Centre, All India Institute Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has posed several challenges to clinical laboratories across the globe. Amidst the outbreak, errors occurring in the preanalytical phase of sample collection, transport and processing, can further lead to undesirable clinical consequences. Thus, this study was designed with the following objectives: (i) to determine and compare the blood specimen rejection rate of a clinical laboratory and (ii) to characterise and compare the types of preanalytical errors between the pre-pandemic and the pandemic phases. MATERIALS AND

methodsThis retrospective study was carried out in a trauma-care hospital, presently converted to COVID-19 care centre. Data was collected from (i) pre-pandemic phase: 1

resultsTotal of 107,716 blood specimens were screened of which 43,396 (40.3%) were received during the pandemic. The blood specimen rejection rate during the pandemic was significantly higher than the pre-pandemic phase (3.0% versus 1.1%; P < 0.001). Clotted samples were the commonest source of preanalytical errors in both phases. There was a significant increase in the improperly labelled samples (P < 0.001) and samples with insufficient volume (P < 0.001), whereas, a significant decline in samples with inadequate sample-anticoagulant ratio and haemolysed samples (P < 0.001).

conclusionIn the ongoing pandemic, preanalytical errors and resultant blood specimen rejection rate in the clinical laboratory have significantly increased due to changed logistics. The study highlights the need for corrective steps at various levels to reduce preanalytical errors in order to optimise patient care and resource utilisation.

Indexed as

Pre-Analytical PhaseBlood Specimen CollectionCOVID-19Diagnostic ErrorsHumansLaboratories, HospitalPandemicsRetrospective StudiesSARS-CoV-2laboratory biosafetypreanalytical phasequality indicatorsSARS-CoV-2total testing process

Identifiers

PMID34140833
PMCPMC8183118

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.