Evidence map›Paper›PMID 35942398›Full record

ArticleClinical and translational radiation oncology2022

Predicting the benefit of stereotactic body radiotherapy of colorectal cancer metastases.

Sara Lindberg, Eva Onjukka, Peter Wersäll, Caroline Staff, Rolf Lewensohn, Giuseppe Masucci, Karin Lindberg

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Sara LindbergDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Eva OnjukkaDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Peter WersällDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Caroline StaffCapio St. Göran Hospital, Stockholm, Sweden.
Rolf LewensohnDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Giuseppe MasucciDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Karin LindbergDepartment of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEKarolinska University Hospital · SESaint Göran Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To evaluate Stereotactic body radiotherapy (SBRT) in metastatic colorectal cancer (mCRC) and identify the benefit of the treatment by using a predictive algorithm. Methods: 85 patients treated with SBRT for mCRC were retrospectively analyzed. The CLInical Categorical Algorithm (CLICAL©) was used to predict probability of relapse after SBRT. Variables pre-SBRT were tested for significance for time to relapse (TTR). The patients' CLICAL© score was the mean of sub-scores of each significant variable's effect on the endpoint. Patients with similar scores were grouped into four signatures dependent on level of benefit after SBRT. Results: Median age was 69 years (42-88), 63 % had a performance status 0 and 47 % were treated for a single metastasis. At the time of the analysis, 90 % had relapsed (95 % out-of-field). Median TTR was 7.3 months (4.6-8.5), and the 2-year relapse-free rate was 15 % (95 %CI = 7-22). The CLICAL© signature III-IV predicted a low risk of relapse if receiving high dose SBRT to all metastases or to lung metastases only. Signature I-II had a short TTR, why SBRT for these patients was judged non-beneficial. Conclusion: The benefit from SBRT varies among mCRC patients. CLICAL© may serve as a screening tool for SBRT referrals but needs to be validated.

Indexed as

CLICAL© algorithmColorectalMetastasesPredictionSBRTStereotactic

Identifiers

PMID35942398
PMCPMC9356237
OpenAlexW4286509648

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.