Copyright: ©Author(s) 2026.
World J Gastroenterol. May 14, 2026; 32(18): 117264
Published online May 14, 2026. doi: 10.3748/wjg.v32.i18.117264
Published online May 14, 2026. doi: 10.3748/wjg.v32.i18.117264
Table 1 Quality of life domain scores at base line and follow up, mean/median
| Domain | PF | RL-P | RL-E | E/F | MH | SF | Pain | GH |
| Baseline | 44.8/40 | 23.6/0 | 50.5/33 | 34.8/45 | 65.2/68 | 63.1/63 | 55.6/65 | 45.3/46 |
| Follow up | 62.4/65 | 54.8/50 | 66.7/100 | 54/50 | 84.1/92 | 90.7/100 | 61.2/60 | 63.4/65 |
| Δ Mean (95%CI) | 17.5 (8-27) | 31.2 (6-57) | 16.2 (-8 to 40) | 19.2 (8-31) | 18.7 (9-29) | 27.7 (16-40) | 5.6 (-11 to 23) | 18 (10-26) |
| P value | 0.003 | 0.017 | 0.178 | 0.002 | 0.001 | 0.0001 | 0.52 | 0.0001 |
Table 2 Demographics and haemoglobin impact on change in significant quality of life domains and fatigue severity scale
| Domain | Predictor | Coefficient | P value | CI lower | CI upper | R2d |
| PF change1 | Age | 0.496799029 | 0.5493559 | -1.1865686 | 2.18016665 | 0.048581685 |
| PF change | Gender | 7.609259284 | 0.5615835 | -18.989681 | 34.2082 | 0.048581685 |
| PF change | Hb | 1.963534859 | 0.4963046 | -3.8858508 | 7.81292048 | 0.048581685 |
| RLP change | Age | -0.144349859 | 0.9149046 | -2.894301 | 2.60560127 | 0.246642284 |
| RLP change | Gender | 36.69853355 | 0.0943931 | -6.7535241 | 80.1505912 | 0.246642284 |
| RLP change | Hb | 7.170977096 | 0.1350192 | -2.3845854 | 16.7265396 | 0.246642284 |
| EF change | Age | 0.946169468 | 0.2363515 | -0.6583037 | 2.55064259 | 0.059013684 |
| EF change | Gender | -5.636567085 | 0.6514632 | -30.988894 | 19.7157594 | 0.059013684 |
| EF change | Hb | 1.086581889 | 0.6919798 | -4.4886602 | 6.66182399 | 0.059013684 |
| GH change | Age | -0.894963168 | 0.1269223 | -2.0616117 | 0.27168537 | 0.101928309 |
| GH change | Gender | 5.985909667 | 0.5103566 | -12.448338 | 24.420157 | 0.101928309 |
| GH change | Hb | -2.06762978 | 0.3041048 | -6.1215138 | 1.98625427 | 0.101928309 |
| MH change | Age | -0.607081002 | 0.3391156 | -1.8884905 | 0.67432848 | 0.212102758 |
| MH change | Gender | 21.07520033 | 0.0419478 | 0.82761193 | 41.3227887 | 0.212102758 |
| MH change | Hb | 0.489064312 | 0.823144 | -3.9635924 | 4.94172105 | 0.212102758 |
| SF change | Age | -0.390959905 | 0.6266197 | -2.0232674 | 1.24134754 | 0.135090432 |
| SF change | Gender | 20.2213016 | 0.1191332 | -5.5708357 | 46.0134389 | 0.135090432 |
| SF change | Hb | 1.068574657 | 0.7017204 | -4.6033865 | 6.74053578 | 0.135090432 |
| FSS change | Age | 0.312632 | 0.531044 | -0.70421 | 1.329473 | 0.158169 |
| FSS change | Gender | 7.96919 | 0.30262 | -7.66476 | 23.60314 | 0.158169 |
| FSS change | Hb | 2.272987 | 0.188219 | -1.19423 | 5.740201 | 0.158169 |
Table 3 Angiogenic factor results for the cohort
| Factor (dilution), pg/mL | Mean | Median | SD | 95%CI |
| Endostatin (1/5) | 2773.3 | 2763.9 | 417.3 | 2620-2926 |
| Ang-1 (1/2) | 598.8 | 497.9 | 394.8 | 435.9-743.64 |
| Ang-2 (1/50) | 15231.7 | 11514.5 | 11285.32 | 11092.3-19371.3 |
| VEGF (1/2) | 233.8 | 108.4 | 349.3 | 105.7-362.02 |
| Timp-1 (1/500) | 107269.3 | 78567.1 | 69069.6 | 81934.4-132604.2 |
Table 4 Demographics and angiogenic factor association
| Angiogenic factor (dilution), pg/mL | Predictor | Coefficient | P value | R2 |
| Ang-1 (1/2) | Age | -3.9091 | 0.6688 | 0.2064 |
| Ang-1 (1/2) | Gender | 170.7615 | 0.2425 | 0.2064 |
| Ang-1 (1/2) | Hb | -79.3965 | 0.0178 | 0.2064 |
| Ang-2 (1/50) | Age | 45.1366 | 0.8759 | 0.0428 |
| Ang-2 (1/50) | Gender | 3435.2961 | 0.4542 | 0.0428 |
| Ang-2 (1/50) | Hb | 480.0491 | 0.6333 | 0.0428 |
| VEGF (1/2) | Age | 3.3534 | 0.6846 | 0.1569 |
| VEGF (1/2) | Gender | 98.5417 | 0.4517 | 0.1569 |
| VEGF (1/2) | Hb | 48.1964 | 0.1012 | 0.1569 |
| Endostatin (1/5) | Age | -2.7524 | 0.8002 | 0.0332 |
| Endostatin (1/5) | Gender | 66.3708 | 0.6996 | 0.0332 |
| Endostatin (1/5) | Hb | 20.2682 | 0.5926 | 0.0332 |
| Timp1 (1/500) | Age | 2216.3375 | 0.217 | 0.0677 |
| Timp1 (1/500) | Gender | -17153.681 | 0.5408 | 0.0677 |
| Timp1 (1/500) | Hb | 3417.3353 | 0.5793 | 0.0677 |
- Citation: Butler T, O’Hara F, Costigan C, Sihag S, Kripakaran D, McNamara D. Enteroscopy and ablation of small bowel angiodysplasia improves quality-of-life and fatigue: A prospective study including biomarker assessment. World J Gastroenterol 2026; 32(18): 117264
- URL: https://www.wjgnet.com/1007-9327/full/v32/i18/117264.htm
- DOI: https://dx.doi.org/10.3748/wjg.v32.i18.117264