Evidence map›Paper›PMID 28216930›Full record

ArticleUrology annals

Can we predict the need for intervention in steinstrasse following shock wave lithotripsy?

Chandan Phukan, T J Nirmal, Cornerstone V Wann, J Chandrasingh, Santosh Kumar, Nitin S Kekre, Antony Devasia

Open access · goldAbstract read
In one paragraph

Article in Urology annals. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 44% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  9. 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

7 authors at 2 institutions in 1 country.

Chandan PhukanDepartment of Urology, Christian Medical College, Vellore, Tamil Nadu, India.
T J NirmalDepartment of Urology, Christian Medical College, Vellore, Tamil Nadu, India.
Cornerstone V WannDepartment of Urology, Christian Medical College, Vellore, Tamil Nadu, India.
J ChandrasinghDepartment of Urology, Christian Medical College, Vellore, Tamil Nadu, India.
Santosh KumarDepartment of Urology, Christian Medical College, Vellore, Tamil Nadu, India.
Nitin S KekreDepartment of Urology, Christian Medical College, Vellore, Tamil Nadu, India.
Antony DevasiaDepartment of Urology, Christian Medical College, Vellore, Tamil Nadu, India.
Christian Medical College · INChristian Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSteinstrasse (SS) is a known complication of shock wave lithotripsy (SWL). Although the majority of SS clears spontaneously, about 6% require intervention. This study was carried out to identify the factors that determine the need for intervention in SS. MATERIALS AND

methodsThis was a retrospective study of all patients who developed steinstrasse following SWL at our center. They were divided into two groups: a) Those cleared spontaneously and b) Those required intervention. The two groups were compared with regard to demographic profile, stone factors and factors related to steinstrasse.

resultsOut of 2436 cases of SWL, 89 (3%) formed steinstrasse. The majority of the patients (35%) who required intervention had stone sizes of 10-14 mm. Coptcoat type III steinstrasse required significantly more interventions for clearance (

conclusionsEarly intervention is warranted in patients with steinstrasse where the lead fragment is >5 mm (Coptcoat type III).

Indexed as

Interventionsshock wave lithotripsysteinstrasse

Identifiers

PMID28216930
PMCPMC5308039
OpenAlexW2581366313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.