Evidence map›Paper›PMID 36320816›Full record

ReviewSN comprehensive clinical medicine2022

A Quick and Comprehensive Guide to Differential Diagnosis of Neck and Back Pain: a Narrative Review.

Elisha Krasin, Haggai Schermann, Nimrod Snir, Adrian Tudor, Eyal Behrbalk

Abstract readReview
In one paragraph

Review in SN comprehensive clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

5 authors.

Elisha Krasin *Division of Orthopedic Surgery at Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0001-7263-4422
Haggai Schermann *Division of Orthopedic Surgery at Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Nimrod SnirDivision of Orthopedic Surgery at Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Adrian TudorDivision of Orthopedic Surgery at Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Eyal BehrbalkDepartment of Orthopedic Surgery at Hillel Yaffe Medical Center, Hadera, Israel, affiliated with the Rappaport Faculty of Medicine, Technion, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The list of diagnostic options when approaching a patient with axial pain is impressively complex. Many offer limited diagnostic workups, but we could not find a truly comprehensive diagnostic guide to assist in the diagnostic evaluation. In this short paper, we briefly described a long list of medical conditions, each of which can manifest as back or neck pain, and whose prevalence ranges from common to very rare. We then proposed an algorithm for classifying them into subgroups. Further referral to diagnostic tests and specialist consultations, after assignment to one of those subgroups, could save time and unnecessary tests. We believe that this review and the proposed diagnostic algorithm can be valuable for medical education and for use in the primary care setting for the diagnostic evaluation of any type of back or neck pain in all patient groups.

Indexed as

Back painClassificationDiagnostic testsDifferential diagnosisNeck painRadiculopathyWorkup

Identifiers

PMID36320816
PMCPMC9610337

What OpenQuestion holds

Textmetadata
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.