Predicting the transition from acute to persistent low back pain in primary care

2012 doctoral thesis by Markus Melloh at University of Otago
Place doctoral_thesis Q111965653
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Predicting the transition from acute to persistent low back pain in primary care

Summary

Predicting the transition from acute to persistent low back pain in primary care is a doctoral thesis[1].

Key Facts

  • Predicting the transition from acute to persistent low back pain in primary care authored Markus Melloh[2].
  • Predicting the transition from acute to persistent low back pain in primary care's instance of is recorded as doctoral thesis[3].
  • Predicting the transition from acute to persistent low back pain in primary care's publisher is recorded as OUR Archive[4].
  • Predicting the transition from acute to persistent low back pain in primary care's language of work or name is recorded as English[5].
  • Predicting the transition from acute to persistent low back pain in primary care's country of origin is recorded as New Zealand[6].
  • Predicting the transition from acute to persistent low back pain in primary care's publication date is recorded as +2012-00-00T00:00:00Z[7].
  • Predicting the transition from acute to persistent low back pain in primary care's main subject is recorded as risk factor[8].
  • Predicting the transition from acute to persistent low back pain in primary care's main subject is recorded as prognosis[9].
  • Predicting the transition from acute to persistent low back pain in primary care's main subject is recorded as primary care[10].
  • Predicting the transition from acute to persistent low back pain in primary care's work available at URL is recorded as https://ourarchive.otago.ac.nz/handle/10523/2205[11].
  • Predicting the transition from acute to persistent low back pain in primary care's Handle ID is recorded as 10523/2205[12].
  • Predicting the transition from acute to persistent low back pain in primary care's title is recorded as Predicting the transition from acute to persistent low back pain in primary care[13].
  • Predicting the transition from acute to persistent low back pain in primary care's copyright holder is recorded as Markus Melloh[14].
  • Predicting the transition from acute to persistent low back pain in primary care's thesis submitted to is recorded as University of Otago[15].
  • Predicting the transition from acute to persistent low back pain in primary care's on focus list of Wikimedia project is recorded as NZThesisProject[16].
  • Predicting the transition from acute to persistent low back pain in primary care's copyright status is recorded as copyrighted[17].
  • Predicting the transition from acute to persistent low back pain in primary care's thesis committee member is recorded as Jean-Claude Theis[18].
  • Predicting the transition from acute to persistent low back pain in primary care's thesis committee member is recorded as David P Gwynne-Jones[19].

Body

Designation and Status

Predicting the transition from acute to persistent low back pain in primary care's instance of is recorded as doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] . wikidata.org.
  2. [2] . wikidata.org.
  3. [4] . wikidata.org.
  4. [5] . wikidata.org.
  5. [6] . wikidata.org.
  6. [7] . wikidata.org.
  7. [8] . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  8. [9] . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  9. [10] . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  10. [11] . wikidata.org.
  11. [12] . wikidata.org.
  12. [13] . wikidata.org.
  13. [14] . wikidata.org.
  14. [15] . wikidata.org.
  15. [16] . wikidata.org.
  16. [17] . wikidata.org.
  17. [18] . wikidata.org.
  18. [19] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Predicting the transition from acute to persistent low back pain in primary care. Retrieved May 3, 2026, from https://4ort.xyz/entity/predicting-the-transition-from-acute-to-persistent-low-back-pain-in-primary-care
MLA “Predicting the transition from acute to persistent low back pain in primary care.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/predicting-the-transition-from-acute-to-persistent-low-back-pain-in-primary-care.
BibTeX @misc{4ortxyz_predicting-the-transition-from-acute-to-persistent-low-back-pain-in-primary-care_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the transition from acute to persistent low back pain in primary care}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-transition-from-acute-to-persistent-low-back-pain-in-primary-care}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the transition from acute to persistent low back pain in primary care — https://4ort.xyz/entity/predicting-the-transition-from-acute-to-persistent-low-back-pain-in-primary-care (retrieved 2026-05-03)

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