Evidence map›Paper›PMID 32703074›Full record

ArticleJournal of neurotrauma2021

Routinely Measured Hematological Markers Can Help to Predict American Spinal Injury Association Impairment Scale Scores after Spinal Cord Injury.

Gabriel Mateus Bernardo Harrington, Paul Cool, Charlotte Hulme, Aheed Osman, Joy Roy Chowdhury, Naveen Kumar, Srinivasa Budithi, Karina Wright

Abstract read
In one paragraph

Article in Journal of neurotrauma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Exploring the Landscape of Biomarkers in Spinal Cord Injury.Topics in spinal cord injury rehabilitation · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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

8 authors.

Gabriel Mateus Bernardo HarringtonKeele University, Staffordshire, United Kingdom.
Paul CoolKeele University, Staffordshire, United Kingdom.
Charlotte HulmeKeele University, Staffordshire, United Kingdom.
Aheed OsmanRobert Jones and Agnes Hunt Orthopedic Hospital NHS Foundation Trust, Oswestry, United Kingdom.
Joy Roy ChowdhuryRobert Jones and Agnes Hunt Orthopedic Hospital NHS Foundation Trust, Oswestry, United Kingdom.
Naveen KumarRobert Jones and Agnes Hunt Orthopedic Hospital NHS Foundation Trust, Oswestry, United Kingdom.
Srinivasa BudithiRobert Jones and Agnes Hunt Orthopedic Hospital NHS Foundation Trust, Oswestry, United Kingdom.
Karina WrightKeele University, Staffordshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurological outcomes following spinal cord injury (SCI) are currently difficult to predict. While the initial American Spinal Injury Association Impairment Scale (AIS) grade can give an estimate of outcome, the high remaining degree of uncertainty has stoked recent interest in biomarkers for SCI. This study aimed to assess the prognostic value of routinely measured blood biomarkers by developing prognostic models of AIS scores at discharge and 12 months post-injury. Routine blood and clinical data were collected from SCI patients (

Indexed as

AdultAgedBiomarkersBlood Cell CountFemaleHemoglobinsHumansLinear ModelsLiver Function TestsMaleMiddle AgedMotor ActivityOutcome Assessment, Health CarePredictive Value of TestsPrognosisRecovery of FunctionBiomarkersHemoglobinsbiomarkerbloodmodelingneurologyspinal cord injury

Identifiers

PMID32703074
PMCPMC7826437

What OpenQuestion holds

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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.