Evidence map›Paper›PMID 26222261›Full record

ArticlePloS one2015

Can Unmanned Aerial Systems (Drones) Be Used for the Routine Transport of Chemistry, Hematology, and Coagulation Laboratory Specimens?

Timothy K Amukele, Lori J Sokoll, Daniel Pepper, Dana P Howard, Jeff Street

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Drones in Health Care-A Flying Potential.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025
    Article
  5. Article
  6. Closing the air gap: the use of drones for studying wildlife ecophysiology.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A Drone Logistic Model for Transporting the Complete Analytic Volume of a Large-Scale University Laboratory.International journal of environmental research and public health · 2021
    Article
  17. Article
  18. Review
  19. Article
  20. Application of Drone in Plastic Surgery.World journal of plastic surgery · 2020
    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

5 authors.

Timothy K AmukeleDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America; Clinical Core Laboratory at Infectious Diseases Institute, Makerere University-Johns Hopkins University, Kampala, Uganda.
Lori J SokollDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Daniel PepperUniversity of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Dana P HowardNextGen Aeronautics, Torrance, California, United States of America.
Jeff StreetNextGen Aeronautics, Torrance, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnmanned Aerial Systems (UAS or drones) could potentially be used for the routine transport of small goods such as diagnostic clinical laboratory specimens. To the best of our knowledge, there is no published study of the impact of UAS transportation on laboratory tests.

methodsThree paired samples were obtained from each one of 56 adult volunteers in a single phlebotomy event (336 samples total): two tubes each for chemistry, hematology, and coagulation testing respectively. 168 samples were driven to the flight field and held stationary. The other 168 samples were flown in the UAS for a range of times, from 6 to 38 minutes. After the flight, 33 of the most common chemistry, hematology, and coagulation tests were performed. Statistical methods as well as performance criteria from four distinct clinical, academic, and regulatory bodies were used to evaluate the results.

resultsResults from flown and stationary sample pairs were similar for all 33 analytes. Bias and intercepts were <10% and <13% respectively for all analytes. Bland-Altman comparisons showed a mean difference of 3.2% for Glucose and <1% for other analytes. Only bicarbonate did not meet the strictest (Royal College of Pathologists of Australasia Quality Assurance Program) performance criteria. This was due to poor precision rather than bias. There were no systematic differences between laboratory-derived (analytic) CV's and the CV's of our flown versus terrestrial sample pairs however CV's from the sample pairs tended to be slightly higher than analytic CV's. The overall concordance, based on clinical stratification (normal versus abnormal), was 97%. Length of flight had no impact on the results.

conclusionsTransportation of laboratory specimens via small UASs does not affect the accuracy of routine chemistry, hematology, and coagulation tests results from selfsame samples. However it results in slightly poorer precision for some analytes.

Indexed as

Blood Coagulation TestsClinical Chemistry TestsHematologic TestsAdultAircraftFeasibility StudiesFemaleHumansMalePhlebotomySpecimen HandlingTime Factors

Identifiers

PMID26222261
PMCPMC4519103

What OpenQuestion holds

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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.