Evidence map›Paper›PMID 32415380›Full record

ArticleSchmerz (Berlin, Germany)2020

[The sacroiliac joint and pain].

Martin Schwarze, Astrid Schenker, Marcus Schiltenwolf, Michael Akbar

Abstract read
PubMed Publisher
In one paragraph

Article in Schmerz (Berlin, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Martin SchwarzeKlinik für Orthopädie und Unfallchirurgie, Zentrum für Orthopädie, Unfallchirurgie und Paraplegiologie, Universitätsklinikum Heidelberg, Schlierbacher Landstraße 200a, 69118, Heidelberg, Deutschland.
Astrid SchenkerKlinik für Orthopädie und Unfallchirurgie, Zentrum für Orthopädie, Unfallchirurgie und Paraplegiologie, Universitätsklinikum Heidelberg, Schlierbacher Landstraße 200a, 69118, Heidelberg, Deutschland.
Marcus SchiltenwolfKlinik für Orthopädie und Unfallchirurgie, Zentrum für Orthopädie, Unfallchirurgie und Paraplegiologie, Universitätsklinikum Heidelberg, Schlierbacher Landstraße 200a, 69118, Heidelberg, Deutschland.
Michael AkbarClinic für Wirbelsäulenerkrankungen und -Therapien, MEOCLINIC GmbH, Friedrichstraße 71, 10117, Berlin, Deutschland. michael.akbar@meoclinic.de.
University Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain caused by the sacroiliac joint (SIG) makes up a relevant proportion of lumbar back pain and can have a variety of specific and non-specific causes. The SIG represents the central link between the spine and the lower extremity. It is characterized by high stability and low mobility. There are significant inter-individual differences. In addition to the possibility of asymptomatic situations, SIG dysfunction can trigger pain in the lower back with possible radiation to the lower extremity. In addition to a structured medical history, clinical examination requires an examination of the adjacent joints and the neurological status. More specifically, movement and provocation tests as well as infiltrations are carried out. General information and conservative therapeutic methods represent the first-line therapies. Interventional and surgical procedures can help in the case of chronification.

Indexed as

Low Back PainSacroiliac JointHumansPain MeasurementPhysical ExaminationFunctional assessmentInfiltrationInterventional and surgical proceduresLow back painSacroiliac joint dysfunction

Identifiers

PMID32415380
OpenAlexW3024315882

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.